View ericg1212's full-sized avatar
3 followers · 2 following

Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLOAchievement: Pair Extraordinaire

Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLOAchievement: Pair Extraordinaire

Block or report ericg1212

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
ericg1212/README.md

Eric Grynspan · Data Engineer

Healthcare AI & Fintech | New York, NY

LinkedIn

Data Engineer building real-time RCM denial prevention and auditable AI governance pipelines for healthcare — Kafka streaming, LLM tool-use, FHIR R4, Snowflake. Fintech: quantitative financial research and alpha signal pipelines on AWS.

Denied classifies denials retrospectively → Trust but Verify adds AI governance → Cleared prevents denials in real time

Denied: Healthcare Claims Intelligence Pipeline

Classifies 257K denied claims by root cause — systematic denials vs. documentation failures — where the remediation path differs fundamentally for each.

StackSynthea FHIR R4 · Python · Snowflake (RAW → staging → mart) · dbt · Dagster
Scale495K total claims · 51.9% denial rate · $1.2M+ recoverable · 12 dbt models · 83 tests
RWET2D/CKD cohort · 104 patients · 54.8% metformin utilization

Trust but Verify: Clinical AI Governance Engine

Dual-validation AI governance — LLM enrichment cross-validated by a deterministic rules engine. Every record routes to Gold (trusted) or Review (explainable reason). No black-box outputs.

StackFHIR R4 · Python · Snowflake · dbt · Dagster · LLM API · Pydantic
DesignLLM-as-Judge blind audit · prompt caching · confidence threshold routing
Data226 patients · 25,958 clinical records · 6 enrichment categories · 6 rules engine domains

Cleared: Agentic RCM Prevention Pipeline

Intercepts claims before submission instead of analyzing denials after the fact — a deterministic NCCI gate plus LLM tool-use prevent the two largest denial root causes at the source.

StackApache Kafka (KRaft) · LLM tool-use · Snowflake · dbt · Python
DesignNCCI gate (~85% cleared without LLM) · 3-condition auto-correct gate (confidence ≥ 0.92 + charge ≤ $500) · drift monitor (>20% → kill-switch)
Proof10% holdout control arm · provable intervention vs. control lift · $0.0119/claim live-validated · 12,500× ROI · 284 tests · CI green

AI Builder Premium — Sharpe Ratio Analysis

Proprietary AI builders generate a +92.0% Sharpe ratio premium over third-party integrators (Spearman ρ = +0.800, p ≈ 0.005) across 10 major tech stocks — visualized in an interactive Power BI dashboard.

StackAirflow · S3 · Glue · Athena · Power BI · Terraform · GitHub Actions
StorageHive-partitioned S3 data lake · Parquet/Snappy · Glue catalog · serverless Athena
Quality184 pytest unit tests · moto AWS mocking · GitHub Actions CI/CD · Terraform IaC

Stack

PythonSQLSnowflakedbtApache AirflowApache KafkaDagsterAWSDockerTerraformPower BIGitHub ActionsPostgreSQLpandaspytest

Pinned Loading

  1. agentic-rcm-pipelineagentic-rcm-pipelinePublic

    Real-time agentic RCM prevention pipeline: Kafka streaming + LLM tool-use to intercept and score claims pre-submission against real NCCI/LCD rules · $0.0119/claim live-validated · $150 denial value…

    Python 1

  2. ai-healthcare-pipelineai-healthcare-pipelinePublic

    FHIR R4 -> Snowflake -> dbt -> Dagster. LLM enrichment + LLM-as-Judge + rules engine = dual-validation AI governance layer. Every EHR record routes to Gold (trusted) or Review (explainable reason).

    Python 1

  3. healthcare-claims-pipelinehealthcare-claims-pipelinePublic

    HL7 FHIR R4 → OMOP CDM → Snowflake → dbt → Dagster. RCM: classifies 257K denied claims by root cause — systematic vs. documentation failures. RWE: T2D+CKD metformin utilization cohort. 12 dbt model…

    Python 1

  4. sharpe-premium-pipelinesharpe-premium-pipelinePublic

    $650B in AI spend, 10 large-cap stocks, 3 years of data. Proprietary AI builders outperform third-party integrators by 92% on risk-adjusted returns (Spearman ρ=+0.800, p≈0.005). Airflow → S3 → Athe…

    Python 1

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
View ericg1212's full-sized avatar
3
followers
 · 2
following

Achievements
Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLOAchievement: Pair Extraordinaire
Achievements
Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLOAchievement: Pair Extraordinaire

Block or report ericg1212

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
ericg1212/README.md
Eric Grynspan · Data Engineer
Healthcare AI & Fintech | New York, NY
LinkedIn
Data Engineer building real-time RCM denial prevention and auditable AI governance pipelines for healthcare — Kafka streaming, LLM tool-use, FHIR R4, Snowflake. Fintech: quantitative financial research and alpha signal pipelines on AWS.
Denied classifies denials retrospectively → Trust but Verify adds AI governance → Cleared prevents denials in real time
Denied: Healthcare Claims Intelligence Pipeline
Classifies 257K denied claims by root cause — systematic denials vs. documentation failures — where the remediation path differs fundamentally for each.
StackSynthea FHIR R4 · Python · Snowflake (RAW → staging → mart) · dbt · Dagster
Scale495K total claims · 51.9% denial rate · $1.2M+ recoverable · 12 dbt models · 83 tests
RWET2D/CKD cohort · 104 patients · 54.8% metformin utilization
Trust but Verify: Clinical AI Governance Engine
Dual-validation AI governance — LLM enrichment cross-validated by a deterministic rules engine. Every record routes to Gold (trusted) or Review (explainable reason). No black-box outputs.
StackFHIR R4 · Python · Snowflake · dbt · Dagster · LLM API · Pydantic
DesignLLM-as-Judge blind audit · prompt caching · confidence threshold routing
Data226 patients · 25,958 clinical records · 6 enrichment categories · 6 rules engine domains
Cleared: Agentic RCM Prevention Pipeline
Intercepts claims before submission instead of analyzing denials after the fact — a deterministic NCCI gate plus LLM tool-use prevent the two largest denial root causes at the source.
StackApache Kafka (KRaft) · LLM tool-use · Snowflake · dbt · Python
DesignNCCI gate (~85% cleared without LLM) · 3-condition auto-correct gate (confidence ≥ 0.92 + charge ≤ $500) · drift monitor (>20% → kill-switch)
Proof10% holdout control arm · provable intervention vs. control lift · $0.0119/claim live-validated · 12,500× ROI · 284 tests · CI green
AI Builder Premium — Sharpe Ratio Analysis
Proprietary AI builders generate a +92.0% Sharpe ratio premium over third-party integrators (Spearman ρ = +0.800, p ≈ 0.005) across 10 major tech stocks — visualized in an interactive Power BI dashboard.
StackAirflow · S3 · Glue · Athena · Power BI · Terraform · GitHub Actions
StorageHive-partitioned S3 data lake · Parquet/Snappy · Glue catalog · serverless Athena
Quality184 pytest unit tests · moto AWS mocking · GitHub Actions CI/CD · Terraform IaC
Stack
PythonSQLSnowflakedbtApache AirflowApache KafkaDagsterAWSDockerTerraformPower BIGitHub ActionsPostgreSQLpandaspytest

Pinned
Loading
  1. agentic-rcm-pipelineagentic-rcm-pipelinePublic
    
Real-time agentic RCM prevention pipeline: Kafka streaming + LLM tool-use to intercept and score claims pre-submission against real NCCI/LCD rules · $0.0119/claim live-validated · $150 denial value…

    Python
1

  2. ai-healthcare-pipelineai-healthcare-pipelinePublic
    
FHIR R4 -> Snowflake -> dbt -> Dagster. LLM enrichment + LLM-as-Judge + rules engine = dual-validation AI governance layer. Every EHR record routes to Gold (trusted) or Review (explainable reason).

    Python
1

  3. healthcare-claims-pipelinehealthcare-claims-pipelinePublic
    
HL7 FHIR R4 → OMOP CDM → Snowflake → dbt → Dagster. RCM: classifies 257K denied claims by root cause — systematic vs. documentation failures. RWE: T2D+CKD metformin utilization cohort. 12 dbt model…

    Python
1

  4. sharpe-premium-pipelinesharpe-premium-pipelinePublic
    
$650B in AI spend, 10 large-cap stocks, 3 years of data. Proprietary AI builders outperform third-party integrators by 92% on risk-adjusted returns (Spearman ρ=+0.800, p≈0.005). Airflow → S3 → Athe…

    Python
1


, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
View ericg1212's full-sized avatar
3
followers
 · 2
following

Achievements
Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLOAchievement: Pair Extraordinaire
Achievements
Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLOAchievement: Pair Extraordinaire

Block or report ericg1212

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
ericg1212/README.md
Eric Grynspan · Data Engineer
Healthcare AI & Fintech | New York, NY
LinkedIn
Data Engineer building real-time RCM denial prevention and auditable AI governance pipelines for healthcare — Kafka streaming, LLM tool-use, FHIR R4, Snowflake. Fintech: quantitative financial research and alpha signal pipelines on AWS.
Denied classifies denials retrospectively → Trust but Verify adds AI governance → Cleared prevents denials in real time
Denied: Healthcare Claims Intelligence Pipeline
Classifies 257K denied claims by root cause — systematic denials vs. documentation failures — where the remediation path differs fundamentally for each.
StackSynthea FHIR R4 · Python · Snowflake (RAW → staging → mart) · dbt · Dagster
Scale495K total claims · 51.9% denial rate · $1.2M+ recoverable · 12 dbt models · 83 tests
RWET2D/CKD cohort · 104 patients · 54.8% metformin utilization
Trust but Verify: Clinical AI Governance Engine
Dual-validation AI governance — LLM enrichment cross-validated by a deterministic rules engine. Every record routes to Gold (trusted) or Review (explainable reason). No black-box outputs.
StackFHIR R4 · Python · Snowflake · dbt · Dagster · LLM API · Pydantic
DesignLLM-as-Judge blind audit · prompt caching · confidence threshold routing
Data226 patients · 25,958 clinical records · 6 enrichment categories · 6 rules engine domains
Cleared: Agentic RCM Prevention Pipeline
Intercepts claims before submission instead of analyzing denials after the fact — a deterministic NCCI gate plus LLM tool-use prevent the two largest denial root causes at the source.
StackApache Kafka (KRaft) · LLM tool-use · Snowflake · dbt · Python
DesignNCCI gate (~85% cleared without LLM) · 3-condition auto-correct gate (confidence ≥ 0.92 + charge ≤ $500) · drift monitor (>20% → kill-switch)
Proof10% holdout control arm · provable intervention vs. control lift · $0.0119/claim live-validated · 12,500× ROI · 284 tests · CI green
AI Builder Premium — Sharpe Ratio Analysis
Proprietary AI builders generate a +92.0% Sharpe ratio premium over third-party integrators (Spearman ρ = +0.800, p ≈ 0.005) across 10 major tech stocks — visualized in an interactive Power BI dashboard.
StackAirflow · S3 · Glue · Athena · Power BI · Terraform · GitHub Actions
StorageHive-partitioned S3 data lake · Parquet/Snappy · Glue catalog · serverless Athena
Quality184 pytest unit tests · moto AWS mocking · GitHub Actions CI/CD · Terraform IaC
Stack
PythonSQLSnowflakedbtApache AirflowApache KafkaDagsterAWSDockerTerraformPower BIGitHub ActionsPostgreSQLpandaspytest

Pinned
Loading
  1. agentic-rcm-pipelineagentic-rcm-pipelinePublic
    
Real-time agentic RCM prevention pipeline: Kafka streaming + LLM tool-use to intercept and score claims pre-submission against real NCCI/LCD rules · $0.0119/claim live-validated · $150 denial value…

    Python
1

  2. ai-healthcare-pipelineai-healthcare-pipelinePublic
    
FHIR R4 -> Snowflake -> dbt -> Dagster. LLM enrichment + LLM-as-Judge + rules engine = dual-validation AI governance layer. Every EHR record routes to Gold (trusted) or Review (explainable reason).

    Python
1

  3. healthcare-claims-pipelinehealthcare-claims-pipelinePublic
    
HL7 FHIR R4 → OMOP CDM → Snowflake → dbt → Dagster. RCM: classifies 257K denied claims by root cause — systematic vs. documentation failures. RWE: T2D+CKD metformin utilization cohort. 12 dbt model…

    Python
1

  4. sharpe-premium-pipelinesharpe-premium-pipelinePublic
    
$650B in AI spend, 10 large-cap stocks, 3 years of data. Proprietary AI builders outperform third-party integrators by 92% on risk-adjusted returns (Spearman ρ=+0.800, p≈0.005). Airflow → S3 → Athe…

    Python
1


, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
View ericg1212's full-sized avatar
3
followers
 · 2
following

Achievements
Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLOAchievement: Pair Extraordinaire
Achievements
Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLOAchievement: Pair Extraordinaire

Block or report ericg1212

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
ericg1212/README.md
Eric Grynspan · Data Engineer
Healthcare AI & Fintech | New York, NY
LinkedIn
Data Engineer building real-time RCM denial prevention and auditable AI governance pipelines for healthcare — Kafka streaming, LLM tool-use, FHIR R4, Snowflake. Fintech: quantitative financial research and alpha signal pipelines on AWS.
Denied classifies denials retrospectively → Trust but Verify adds AI governance → Cleared prevents denials in real time
Denied: Healthcare Claims Intelligence Pipeline
Classifies 257K denied claims by root cause — systematic denials vs. documentation failures — where the remediation path differs fundamentally for each.
StackSynthea FHIR R4 · Python · Snowflake (RAW → staging → mart) · dbt · Dagster
Scale495K total claims · 51.9% denial rate · $1.2M+ recoverable · 12 dbt models · 83 tests
RWET2D/CKD cohort · 104 patients · 54.8% metformin utilization
Trust but Verify: Clinical AI Governance Engine
Dual-validation AI governance — LLM enrichment cross-validated by a deterministic rules engine. Every record routes to Gold (trusted) or Review (explainable reason). No black-box outputs.
StackFHIR R4 · Python · Snowflake · dbt · Dagster · LLM API · Pydantic
DesignLLM-as-Judge blind audit · prompt caching · confidence threshold routing
Data226 patients · 25,958 clinical records · 6 enrichment categories · 6 rules engine domains
Cleared: Agentic RCM Prevention Pipeline
Intercepts claims before submission instead of analyzing denials after the fact — a deterministic NCCI gate plus LLM tool-use prevent the two largest denial root causes at the source.
StackApache Kafka (KRaft) · LLM tool-use · Snowflake · dbt · Python
DesignNCCI gate (~85% cleared without LLM) · 3-condition auto-correct gate (confidence ≥ 0.92 + charge ≤ $500) · drift monitor (>20% → kill-switch)
Proof10% holdout control arm · provable intervention vs. control lift · $0.0119/claim live-validated · 12,500× ROI · 284 tests · CI green
AI Builder Premium — Sharpe Ratio Analysis
Proprietary AI builders generate a +92.0% Sharpe ratio premium over third-party integrators (Spearman ρ = +0.800, p ≈ 0.005) across 10 major tech stocks — visualized in an interactive Power BI dashboard.
StackAirflow · S3 · Glue · Athena · Power BI · Terraform · GitHub Actions
StorageHive-partitioned S3 data lake · Parquet/Snappy · Glue catalog · serverless Athena
Quality184 pytest unit tests · moto AWS mocking · GitHub Actions CI/CD · Terraform IaC
Stack
PythonSQLSnowflakedbtApache AirflowApache KafkaDagsterAWSDockerTerraformPower BIGitHub ActionsPostgreSQLpandaspytest

Pinned
Loading
  1. agentic-rcm-pipelineagentic-rcm-pipelinePublic
    
Real-time agentic RCM prevention pipeline: Kafka streaming + LLM tool-use to intercept and score claims pre-submission against real NCCI/LCD rules · $0.0119/claim live-validated · $150 denial value…

    Python
1

  2. ai-healthcare-pipelineai-healthcare-pipelinePublic
    
FHIR R4 -> Snowflake -> dbt -> Dagster. LLM enrichment + LLM-as-Judge + rules engine = dual-validation AI governance layer. Every EHR record routes to Gold (trusted) or Review (explainable reason).

    Python
1

  3. healthcare-claims-pipelinehealthcare-claims-pipelinePublic
    
HL7 FHIR R4 → OMOP CDM → Snowflake → dbt → Dagster. RCM: classifies 257K denied claims by root cause — systematic vs. documentation failures. RWE: T2D+CKD metformin utilization cohort. 12 dbt model…

    Python
1

  4. sharpe-premium-pipelinesharpe-premium-pipelinePublic
    
$650B in AI spend, 10 large-cap stocks, 3 years of data. Proprietary AI builders outperform third-party integrators by 92% on risk-adjusted returns (Spearman ρ=+0.800, p≈0.005). Airflow → S3 → Athe…

    Python
1


, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
View ericg1212's full-sized avatar
3
followers
 · 2
following

Achievements
Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLOAchievement: Pair Extraordinaire
Achievements
Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLOAchievement: Pair Extraordinaire

Block or report ericg1212

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
ericg1212/README.md
Eric Grynspan · Data Engineer
Healthcare AI & Fintech | New York, NY
LinkedIn
Data Engineer building real-time RCM denial prevention and auditable AI governance pipelines for healthcare — Kafka streaming, LLM tool-use, FHIR R4, Snowflake. Fintech: quantitative financial research and alpha signal pipelines on AWS.
Denied classifies denials retrospectively → Trust but Verify adds AI governance → Cleared prevents denials in real time
Denied: Healthcare Claims Intelligence Pipeline
Classifies 257K denied claims by root cause — systematic denials vs. documentation failures — where the remediation path differs fundamentally for each.
StackSynthea FHIR R4 · Python · Snowflake (RAW → staging → mart) · dbt · Dagster
Scale495K total claims · 51.9% denial rate · $1.2M+ recoverable · 12 dbt models · 83 tests
RWET2D/CKD cohort · 104 patients · 54.8% metformin utilization
Trust but Verify: Clinical AI Governance Engine
Dual-validation AI governance — LLM enrichment cross-validated by a deterministic rules engine. Every record routes to Gold (trusted) or Review (explainable reason). No black-box outputs.
StackFHIR R4 · Python · Snowflake · dbt · Dagster · LLM API · Pydantic
DesignLLM-as-Judge blind audit · prompt caching · confidence threshold routing
Data226 patients · 25,958 clinical records · 6 enrichment categories · 6 rules engine domains
Cleared: Agentic RCM Prevention Pipeline
Intercepts claims before submission instead of analyzing denials after the fact — a deterministic NCCI gate plus LLM tool-use prevent the two largest denial root causes at the source.
StackApache Kafka (KRaft) · LLM tool-use · Snowflake · dbt · Python
DesignNCCI gate (~85% cleared without LLM) · 3-condition auto-correct gate (confidence ≥ 0.92 + charge ≤ $500) · drift monitor (>20% → kill-switch)
Proof10% holdout control arm · provable intervention vs. control lift · $0.0119/claim live-validated · 12,500× ROI · 284 tests · CI green
AI Builder Premium — Sharpe Ratio Analysis
Proprietary AI builders generate a +92.0% Sharpe ratio premium over third-party integrators (Spearman ρ = +0.800, p ≈ 0.005) across 10 major tech stocks — visualized in an interactive Power BI dashboard.
StackAirflow · S3 · Glue · Athena · Power BI · Terraform · GitHub Actions
StorageHive-partitioned S3 data lake · Parquet/Snappy · Glue catalog · serverless Athena
Quality184 pytest unit tests · moto AWS mocking · GitHub Actions CI/CD · Terraform IaC
Stack
PythonSQLSnowflakedbtApache AirflowApache KafkaDagsterAWSDockerTerraformPower BIGitHub ActionsPostgreSQLpandaspytest

Pinned
Loading
  1. agentic-rcm-pipelineagentic-rcm-pipelinePublic
    
Real-time agentic RCM prevention pipeline: Kafka streaming + LLM tool-use to intercept and score claims pre-submission against real NCCI/LCD rules · $0.0119/claim live-validated · $150 denial value…

    Python
1

  2. ai-healthcare-pipelineai-healthcare-pipelinePublic
    
FHIR R4 -> Snowflake -> dbt -> Dagster. LLM enrichment + LLM-as-Judge + rules engine = dual-validation AI governance layer. Every EHR record routes to Gold (trusted) or Review (explainable reason).

    Python
1

  3. healthcare-claims-pipelinehealthcare-claims-pipelinePublic
    
HL7 FHIR R4 → OMOP CDM → Snowflake → dbt → Dagster. RCM: classifies 257K denied claims by root cause — systematic vs. documentation failures. RWE: T2D+CKD metformin utilization cohort. 12 dbt model…

    Python
1

  4. sharpe-premium-pipelinesharpe-premium-pipelinePublic
    
$650B in AI spend, 10 large-cap stocks, 3 years of data. Proprietary AI builders outperform third-party integrators by 92% on risk-adjusted returns (Spearman ρ=+0.800, p≈0.005). Airflow → S3 → Athe…

    Python
1


, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
View ericg1212's full-sized avatar
3
followers
 · 2
following

Achievements
Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLOAchievement: Pair Extraordinaire
Achievements
Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLOAchievement: Pair Extraordinaire

Block or report ericg1212

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
ericg1212/README.md
Eric Grynspan · Data Engineer
Healthcare AI & Fintech | New York, NY
LinkedIn
Data Engineer building real-time RCM denial prevention and auditable AI governance pipelines for healthcare — Kafka streaming, LLM tool-use, FHIR R4, Snowflake. Fintech: quantitative financial research and alpha signal pipelines on AWS.
Denied classifies denials retrospectively → Trust but Verify adds AI governance → Cleared prevents denials in real time
Denied: Healthcare Claims Intelligence Pipeline
Classifies 257K denied claims by root cause — systematic denials vs. documentation failures — where the remediation path differs fundamentally for each.
StackSynthea FHIR R4 · Python · Snowflake (RAW → staging → mart) · dbt · Dagster
Scale495K total claims · 51.9% denial rate · $1.2M+ recoverable · 12 dbt models · 83 tests
RWET2D/CKD cohort · 104 patients · 54.8% metformin utilization
Trust but Verify: Clinical AI Governance Engine
Dual-validation AI governance — LLM enrichment cross-validated by a deterministic rules engine. Every record routes to Gold (trusted) or Review (explainable reason). No black-box outputs.
StackFHIR R4 · Python · Snowflake · dbt · Dagster · LLM API · Pydantic
DesignLLM-as-Judge blind audit · prompt caching · confidence threshold routing
Data226 patients · 25,958 clinical records · 6 enrichment categories · 6 rules engine domains
Cleared: Agentic RCM Prevention Pipeline
Intercepts claims before submission instead of analyzing denials after the fact — a deterministic NCCI gate plus LLM tool-use prevent the two largest denial root causes at the source.
StackApache Kafka (KRaft) · LLM tool-use · Snowflake · dbt · Python
DesignNCCI gate (~85% cleared without LLM) · 3-condition auto-correct gate (confidence ≥ 0.92 + charge ≤ $500) · drift monitor (>20% → kill-switch)
Proof10% holdout control arm · provable intervention vs. control lift · $0.0119/claim live-validated · 12,500× ROI · 284 tests · CI green
AI Builder Premium — Sharpe Ratio Analysis
Proprietary AI builders generate a +92.0% Sharpe ratio premium over third-party integrators (Spearman ρ = +0.800, p ≈ 0.005) across 10 major tech stocks — visualized in an interactive Power BI dashboard.
StackAirflow · S3 · Glue · Athena · Power BI · Terraform · GitHub Actions
StorageHive-partitioned S3 data lake · Parquet/Snappy · Glue catalog · serverless Athena
Quality184 pytest unit tests · moto AWS mocking · GitHub Actions CI/CD · Terraform IaC
Stack
PythonSQLSnowflakedbtApache AirflowApache KafkaDagsterAWSDockerTerraformPower BIGitHub ActionsPostgreSQLpandaspytest

Pinned
Loading
  1. agentic-rcm-pipelineagentic-rcm-pipelinePublic
    
Real-time agentic RCM prevention pipeline: Kafka streaming + LLM tool-use to intercept and score claims pre-submission against real NCCI/LCD rules · $0.0119/claim live-validated · $150 denial value…

    Python
1

  2. ai-healthcare-pipelineai-healthcare-pipelinePublic
    
FHIR R4 -> Snowflake -> dbt -> Dagster. LLM enrichment + LLM-as-Judge + rules engine = dual-validation AI governance layer. Every EHR record routes to Gold (trusted) or Review (explainable reason).

    Python
1

  3. healthcare-claims-pipelinehealthcare-claims-pipelinePublic
    
HL7 FHIR R4 → OMOP CDM → Snowflake → dbt → Dagster. RCM: classifies 257K denied claims by root cause — systematic vs. documentation failures. RWE: T2D+CKD metformin utilization cohort. 12 dbt model…

    Python
1

  4. sharpe-premium-pipelinesharpe-premium-pipelinePublic
    
$650B in AI spend, 10 large-cap stocks, 3 years of data. Proprietary AI builders outperform third-party integrators by 92% on risk-adjusted returns (Spearman ρ=+0.800, p≈0.005). Airflow → S3 → Athe…

    Python
1


, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
View ericg1212's full-sized avatar
3
followers
 · 2
following

Achievements
Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLOAchievement: Pair Extraordinaire
Achievements
Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLOAchievement: Pair Extraordinaire

Block or report ericg1212

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
ericg1212/README.md
Eric Grynspan · Data Engineer
Healthcare AI & Fintech | New York, NY
LinkedIn
Data Engineer building real-time RCM denial prevention and auditable AI governance pipelines for healthcare — Kafka streaming, LLM tool-use, FHIR R4, Snowflake. Fintech: quantitative financial research and alpha signal pipelines on AWS.
Denied classifies denials retrospectively → Trust but Verify adds AI governance → Cleared prevents denials in real time
Denied: Healthcare Claims Intelligence Pipeline
Classifies 257K denied claims by root cause — systematic denials vs. documentation failures — where the remediation path differs fundamentally for each.
StackSynthea FHIR R4 · Python · Snowflake (RAW → staging → mart) · dbt · Dagster
Scale495K total claims · 51.9% denial rate · $1.2M+ recoverable · 12 dbt models · 83 tests
RWET2D/CKD cohort · 104 patients · 54.8% metformin utilization
Trust but Verify: Clinical AI Governance Engine
Dual-validation AI governance — LLM enrichment cross-validated by a deterministic rules engine. Every record routes to Gold (trusted) or Review (explainable reason). No black-box outputs.
StackFHIR R4 · Python · Snowflake · dbt · Dagster · LLM API · Pydantic
DesignLLM-as-Judge blind audit · prompt caching · confidence threshold routing
Data226 patients · 25,958 clinical records · 6 enrichment categories · 6 rules engine domains
Cleared: Agentic RCM Prevention Pipeline
Intercepts claims before submission instead of analyzing denials after the fact — a deterministic NCCI gate plus LLM tool-use prevent the two largest denial root causes at the source.
StackApache Kafka (KRaft) · LLM tool-use · Snowflake · dbt · Python
DesignNCCI gate (~85% cleared without LLM) · 3-condition auto-correct gate (confidence ≥ 0.92 + charge ≤ $500) · drift monitor (>20% → kill-switch)
Proof10% holdout control arm · provable intervention vs. control lift · $0.0119/claim live-validated · 12,500× ROI · 284 tests · CI green
AI Builder Premium — Sharpe Ratio Analysis
Proprietary AI builders generate a +92.0% Sharpe ratio premium over third-party integrators (Spearman ρ = +0.800, p ≈ 0.005) across 10 major tech stocks — visualized in an interactive Power BI dashboard.
StackAirflow · S3 · Glue · Athena · Power BI · Terraform · GitHub Actions
StorageHive-partitioned S3 data lake · Parquet/Snappy · Glue catalog · serverless Athena
Quality184 pytest unit tests · moto AWS mocking · GitHub Actions CI/CD · Terraform IaC
Stack
PythonSQLSnowflakedbtApache AirflowApache KafkaDagsterAWSDockerTerraformPower BIGitHub ActionsPostgreSQLpandaspytest

Pinned
Loading
  1. agentic-rcm-pipelineagentic-rcm-pipelinePublic
    
Real-time agentic RCM prevention pipeline: Kafka streaming + LLM tool-use to intercept and score claims pre-submission against real NCCI/LCD rules · $0.0119/claim live-validated · $150 denial value…

    Python
1

  2. ai-healthcare-pipelineai-healthcare-pipelinePublic
    
FHIR R4 -> Snowflake -> dbt -> Dagster. LLM enrichment + LLM-as-Judge + rules engine = dual-validation AI governance layer. Every EHR record routes to Gold (trusted) or Review (explainable reason).

    Python
1

  3. healthcare-claims-pipelinehealthcare-claims-pipelinePublic
    
HL7 FHIR R4 → OMOP CDM → Snowflake → dbt → Dagster. RCM: classifies 257K denied claims by root cause — systematic vs. documentation failures. RWE: T2D+CKD metformin utilization cohort. 12 dbt model…

    Python
1

  4. sharpe-premium-pipelinesharpe-premium-pipelinePublic
    
$650B in AI spend, 10 large-cap stocks, 3 years of data. Proprietary AI builders outperform third-party integrators by 92% on risk-adjusted returns (Spearman ρ=+0.800, p≈0.005). Airflow → S3 → Athe…

    Python
1


, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
View ericg1212's full-sized avatar
3
followers
 · 2
following

Achievements
Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLOAchievement: Pair Extraordinaire
Achievements
Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLOAchievement: Pair Extraordinaire

Block or report ericg1212

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
ericg1212/README.md
Eric Grynspan · Data Engineer
Healthcare AI & Fintech | New York, NY
LinkedIn
Data Engineer building real-time RCM denial prevention and auditable AI governance pipelines for healthcare — Kafka streaming, LLM tool-use, FHIR R4, Snowflake. Fintech: quantitative financial research and alpha signal pipelines on AWS.
Denied classifies denials retrospectively → Trust but Verify adds AI governance → Cleared prevents denials in real time
Denied: Healthcare Claims Intelligence Pipeline
Classifies 257K denied claims by root cause — systematic denials vs. documentation failures — where the remediation path differs fundamentally for each.
StackSynthea FHIR R4 · Python · Snowflake (RAW → staging → mart) · dbt · Dagster
Scale495K total claims · 51.9% denial rate · $1.2M+ recoverable · 12 dbt models · 83 tests
RWET2D/CKD cohort · 104 patients · 54.8% metformin utilization
Trust but Verify: Clinical AI Governance Engine
Dual-validation AI governance — LLM enrichment cross-validated by a deterministic rules engine. Every record routes to Gold (trusted) or Review (explainable reason). No black-box outputs.
StackFHIR R4 · Python · Snowflake · dbt · Dagster · LLM API · Pydantic
DesignLLM-as-Judge blind audit · prompt caching · confidence threshold routing
Data226 patients · 25,958 clinical records · 6 enrichment categories · 6 rules engine domains
Cleared: Agentic RCM Prevention Pipeline
Intercepts claims before submission instead of analyzing denials after the fact — a deterministic NCCI gate plus LLM tool-use prevent the two largest denial root causes at the source.
StackApache Kafka (KRaft) · LLM tool-use · Snowflake · dbt · Python
DesignNCCI gate (~85% cleared without LLM) · 3-condition auto-correct gate (confidence ≥ 0.92 + charge ≤ $500) · drift monitor (>20% → kill-switch)
Proof10% holdout control arm · provable intervention vs. control lift · $0.0119/claim live-validated · 12,500× ROI · 284 tests · CI green
AI Builder Premium — Sharpe Ratio Analysis
Proprietary AI builders generate a +92.0% Sharpe ratio premium over third-party integrators (Spearman ρ = +0.800, p ≈ 0.005) across 10 major tech stocks — visualized in an interactive Power BI dashboard.
StackAirflow · S3 · Glue · Athena · Power BI · Terraform · GitHub Actions
StorageHive-partitioned S3 data lake · Parquet/Snappy · Glue catalog · serverless Athena
Quality184 pytest unit tests · moto AWS mocking · GitHub Actions CI/CD · Terraform IaC
Stack
PythonSQLSnowflakedbtApache AirflowApache KafkaDagsterAWSDockerTerraformPower BIGitHub ActionsPostgreSQLpandaspytest

Pinned
Loading
  1. agentic-rcm-pipelineagentic-rcm-pipelinePublic
    
Real-time agentic RCM prevention pipeline: Kafka streaming + LLM tool-use to intercept and score claims pre-submission against real NCCI/LCD rules · $0.0119/claim live-validated · $150 denial value…

    Python
1

  2. ai-healthcare-pipelineai-healthcare-pipelinePublic
    
FHIR R4 -> Snowflake -> dbt -> Dagster. LLM enrichment + LLM-as-Judge + rules engine = dual-validation AI governance layer. Every EHR record routes to Gold (trusted) or Review (explainable reason).

    Python
1

  3. healthcare-claims-pipelinehealthcare-claims-pipelinePublic
    
HL7 FHIR R4 → OMOP CDM → Snowflake → dbt → Dagster. RCM: classifies 257K denied claims by root cause — systematic vs. documentation failures. RWE: T2D+CKD metformin utilization cohort. 12 dbt model…

    Python
1

  4. sharpe-premium-pipelinesharpe-premium-pipelinePublic
    
$650B in AI spend, 10 large-cap stocks, 3 years of data. Proprietary AI builders outperform third-party integrators by 92% on risk-adjusted returns (Spearman ρ=+0.800, p≈0.005). Airflow → S3 → Athe…

    Python
1