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royayon/README.md

Hi there 👋, I'm Ayon Roy

Ph.D. Candidate in Computer Science • AI/ML Researcher • GenAI Engineer

I'm a Ph.D. candidate in Computer Science at The University of Texas at Arlington, researching Agentic AI for indoor navigation, building an Agentic AI navigation coach that perceives, reasons about, and guides users through indoor environments where GPS fails. My broader work spans LLM-driven agent architectures, graph neural networks for human activity understanding, and taking models from paper to deployed production systems.

Research interests: Agentic AI • Indoor Navigation & Spatial Reasoning • LLM Agent Architectures • Graph Neural Networks • Applied ML

🔗 ayonroy.comLinkedInGoogle Scholar • 📫 royshouhag@gmail.com


🔬 Research

Agentic AI Navigation Coach for Indoor Navigation(Ph.D. dissertation research, UT Arlington) Designing an LLM-driven agentic system that acts as a navigation coach for indoor environments — where GPS is unavailable and users must rely on spatial understanding, landmarks, and turn-by-turn reasoning. The agent perceives indoor context, plans routes, and delivers adaptive, human-like coaching rather than raw directions. → AgenticCoach

Cognitive Fatigue Detection from Gait(UT Arlington) Developed a Residual Graph Convolutional Network (ResGCN) that detects cognitive fatigue levels from gait-cycle data, modeling skeletal walking patterns as spatio-temporal graphs.

LLM Evaluation & Comparative Analysis Published a peer-reviewed comparative study of large language models (ChatGPT versus Bard, Engineering Reports 2024), covering reasoning, factuality, and task performance.

Automated Model Selection Built and published CurFi, an automated curve-fitting tool that selects the best regression model for a dataset — open source and paired with its paper. → curfi.js

📄 Selected Publications

  • ChatGPT versus Bard: A comparative study.Engineering Reports, vol. 6, no. 11, e12890, 2024
  • CurFi: An automated tool to find the best regression analysis model using curve fitting.Engineering Reports, vol. 4, no. 12, 2022
  • A Deep Learning Approach to Predict Academic Result and Recommend Study Plan for Improving Student's Academic Performance.Ubiquitous Intelligent Systems, 2021 Full list on Google Scholar

⚙️ Production ML & Agentic Systems

Agentic Document Intelligence at Scale — End-to-end LLM + ML system for multi-output classification: LLM clause extraction over 1,292 OCR-parsed contracts + CatBoost ensemble trained on 4M+ records, served via Databricks/MLflow and scoring 62K+ line items in production. (Trinity Industries)

Ensemble Forecasting — 4-model ensemble with 60+ engineered features, KMeans segmentation (automated k via knee detection), and per-cluster random forests producing confidence-bounded daily forecasts. (Trinity Industries)

Agentic AI & Developer Tooling — Claude Code workflows (skills, sub-agents, hooks, MCP), agent architectures with capability-based security, and VS Code tooling. → claude-config


🛠️ Tech Stack

LLM / GenAI

Claude APIClaude CodeRAGMCPPrompt Evaluation

ML / Data

PyTorchTensorFlowDatabricksMLflowPySparkCatBoostscikit-learnPandas

Languages

PythonC++JavaGoTypeScriptSQL

Full Stack

ReactNext.jsNode.jsDjangoPostgreSQLMongoDB

Cloud & Tools

AzureGCPDockerKubernetesAzure DevOpsGit


📊 GitHub Stats

GitHub Stats

GitHub Stats


📬 Get in Touch

LinkedInWebsiteEmailDev.to

Pinned Loading

  1. curfi.jscurfi.jsPublic

    Automated, fast, minimalist Curve-Fitting tool for the browser and node.js.

    JavaScript 6 1

  2. digitsdigitsPublic

    Digits Recognize with Drawing(HTML Canvas). The Machine Learning Model can recognize any Handwritten Digit.

    Jupyter Notebook 1

  3. AlienVasion-GameAlienVasion-GamePublic

    A shooting game which is designed for your leisure time!

    C 2 1

  4. AynCalculatorAynCalculatorPublic

    Android App Scientific Calculator and Converters.

    Java 9 2

, '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" + '
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royayon/README.md

Hi there 👋, I'm Ayon Roy

Ph.D. Candidate in Computer Science • AI/ML Researcher • GenAI Engineer

I'm a Ph.D. candidate in Computer Science at The University of Texas at Arlington, researching Agentic AI for indoor navigation, building an Agentic AI navigation coach that perceives, reasons about, and guides users through indoor environments where GPS fails. My broader work spans LLM-driven agent architectures, graph neural networks for human activity understanding, and taking models from paper to deployed production systems.

Research interests: Agentic AI • Indoor Navigation & Spatial Reasoning • LLM Agent Architectures • Graph Neural Networks • Applied ML

🔗 ayonroy.comLinkedInGoogle Scholar • 📫 royshouhag@gmail.com


🔬 Research

Agentic AI Navigation Coach for Indoor Navigation(Ph.D. dissertation research, UT Arlington) Designing an LLM-driven agentic system that acts as a navigation coach for indoor environments — where GPS is unavailable and users must rely on spatial understanding, landmarks, and turn-by-turn reasoning. The agent perceives indoor context, plans routes, and delivers adaptive, human-like coaching rather than raw directions. → AgenticCoach

Cognitive Fatigue Detection from Gait(UT Arlington) Developed a Residual Graph Convolutional Network (ResGCN) that detects cognitive fatigue levels from gait-cycle data, modeling skeletal walking patterns as spatio-temporal graphs.

LLM Evaluation & Comparative Analysis Published a peer-reviewed comparative study of large language models (ChatGPT versus Bard, Engineering Reports 2024), covering reasoning, factuality, and task performance.

Automated Model Selection Built and published CurFi, an automated curve-fitting tool that selects the best regression model for a dataset — open source and paired with its paper. → curfi.js

📄 Selected Publications

  • ChatGPT versus Bard: A comparative study.Engineering Reports, vol. 6, no. 11, e12890, 2024
  • CurFi: An automated tool to find the best regression analysis model using curve fitting.Engineering Reports, vol. 4, no. 12, 2022
  • A Deep Learning Approach to Predict Academic Result and Recommend Study Plan for Improving Student's Academic Performance.Ubiquitous Intelligent Systems, 2021 Full list on Google Scholar

⚙️ Production ML & Agentic Systems

Agentic Document Intelligence at Scale — End-to-end LLM + ML system for multi-output classification: LLM clause extraction over 1,292 OCR-parsed contracts + CatBoost ensemble trained on 4M+ records, served via Databricks/MLflow and scoring 62K+ line items in production. (Trinity Industries)

Ensemble Forecasting — 4-model ensemble with 60+ engineered features, KMeans segmentation (automated k via knee detection), and per-cluster random forests producing confidence-bounded daily forecasts. (Trinity Industries)

Agentic AI & Developer Tooling — Claude Code workflows (skills, sub-agents, hooks, MCP), agent architectures with capability-based security, and VS Code tooling. → claude-config


🛠️ Tech Stack

LLM / GenAI

Claude APIClaude CodeRAGMCPPrompt Evaluation

ML / Data

PyTorchTensorFlowDatabricksMLflowPySparkCatBoostscikit-learnPandas

Languages

PythonC++JavaGoTypeScriptSQL

Full Stack

ReactNext.jsNode.jsDjangoPostgreSQLMongoDB

Cloud & Tools

AzureGCPDockerKubernetesAzure DevOpsGit


📊 GitHub Stats

GitHub Stats

GitHub Stats


📬 Get in Touch

LinkedInWebsiteEmailDev.to

Pinned Loading

  1. curfi.jscurfi.jsPublic

    Automated, fast, minimalist Curve-Fitting tool for the browser and node.js.

    JavaScript 6 1

  2. digitsdigitsPublic

    Digits Recognize with Drawing(HTML Canvas). The Machine Learning Model can recognize any Handwritten Digit.

    Jupyter Notebook 1

  3. AlienVasion-GameAlienVasion-GamePublic

    A shooting game which is designed for your leisure time!

    C 2 1

  4. AynCalculatorAynCalculatorPublic

    Android App Scientific Calculator and Converters.

    Java 9 2

, '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('^' + ".*" + '
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royayon/README.md

Hi there 👋, I'm Ayon Roy

Ph.D. Candidate in Computer Science • AI/ML Researcher • GenAI Engineer

I'm a Ph.D. candidate in Computer Science at The University of Texas at Arlington, researching Agentic AI for indoor navigation, building an Agentic AI navigation coach that perceives, reasons about, and guides users through indoor environments where GPS fails. My broader work spans LLM-driven agent architectures, graph neural networks for human activity understanding, and taking models from paper to deployed production systems.

Research interests: Agentic AI • Indoor Navigation & Spatial Reasoning • LLM Agent Architectures • Graph Neural Networks • Applied ML

🔗 ayonroy.comLinkedInGoogle Scholar • 📫 royshouhag@gmail.com


🔬 Research

Agentic AI Navigation Coach for Indoor Navigation(Ph.D. dissertation research, UT Arlington) Designing an LLM-driven agentic system that acts as a navigation coach for indoor environments — where GPS is unavailable and users must rely on spatial understanding, landmarks, and turn-by-turn reasoning. The agent perceives indoor context, plans routes, and delivers adaptive, human-like coaching rather than raw directions. → AgenticCoach

Cognitive Fatigue Detection from Gait(UT Arlington) Developed a Residual Graph Convolutional Network (ResGCN) that detects cognitive fatigue levels from gait-cycle data, modeling skeletal walking patterns as spatio-temporal graphs.

LLM Evaluation & Comparative Analysis Published a peer-reviewed comparative study of large language models (ChatGPT versus Bard, Engineering Reports 2024), covering reasoning, factuality, and task performance.

Automated Model Selection Built and published CurFi, an automated curve-fitting tool that selects the best regression model for a dataset — open source and paired with its paper. → curfi.js

📄 Selected Publications

  • ChatGPT versus Bard: A comparative study.Engineering Reports, vol. 6, no. 11, e12890, 2024
  • CurFi: An automated tool to find the best regression analysis model using curve fitting.Engineering Reports, vol. 4, no. 12, 2022
  • A Deep Learning Approach to Predict Academic Result and Recommend Study Plan for Improving Student's Academic Performance.Ubiquitous Intelligent Systems, 2021 Full list on Google Scholar

⚙️ Production ML & Agentic Systems

Agentic Document Intelligence at Scale — End-to-end LLM + ML system for multi-output classification: LLM clause extraction over 1,292 OCR-parsed contracts + CatBoost ensemble trained on 4M+ records, served via Databricks/MLflow and scoring 62K+ line items in production. (Trinity Industries)

Ensemble Forecasting — 4-model ensemble with 60+ engineered features, KMeans segmentation (automated k via knee detection), and per-cluster random forests producing confidence-bounded daily forecasts. (Trinity Industries)

Agentic AI & Developer Tooling — Claude Code workflows (skills, sub-agents, hooks, MCP), agent architectures with capability-based security, and VS Code tooling. → claude-config


🛠️ Tech Stack

LLM / GenAI

Claude APIClaude CodeRAGMCPPrompt Evaluation

ML / Data

PyTorchTensorFlowDatabricksMLflowPySparkCatBoostscikit-learnPandas

Languages

PythonC++JavaGoTypeScriptSQL

Full Stack

ReactNext.jsNode.jsDjangoPostgreSQLMongoDB

Cloud & Tools

AzureGCPDockerKubernetesAzure DevOpsGit


📊 GitHub Stats

GitHub Stats

GitHub Stats


📬 Get in Touch

LinkedInWebsiteEmailDev.to

Pinned Loading

  1. curfi.jscurfi.jsPublic

    Automated, fast, minimalist Curve-Fitting tool for the browser and node.js.

    JavaScript 6 1

  2. digitsdigitsPublic

    Digits Recognize with Drawing(HTML Canvas). The Machine Learning Model can recognize any Handwritten Digit.

    Jupyter Notebook 1

  3. AlienVasion-GameAlienVasion-GamePublic

    A shooting game which is designed for your leisure time!

    C 2 1

  4. AynCalculatorAynCalculatorPublic

    Android App Scientific Calculator and Converters.

    Java 9 2

, '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('^' + ".*" + '
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royayon/README.md

Hi there 👋, I'm Ayon Roy

Ph.D. Candidate in Computer Science • AI/ML Researcher • GenAI Engineer

I'm a Ph.D. candidate in Computer Science at The University of Texas at Arlington, researching Agentic AI for indoor navigation, building an Agentic AI navigation coach that perceives, reasons about, and guides users through indoor environments where GPS fails. My broader work spans LLM-driven agent architectures, graph neural networks for human activity understanding, and taking models from paper to deployed production systems.

Research interests: Agentic AI • Indoor Navigation & Spatial Reasoning • LLM Agent Architectures • Graph Neural Networks • Applied ML

🔗 ayonroy.comLinkedInGoogle Scholar • 📫 royshouhag@gmail.com


🔬 Research

Agentic AI Navigation Coach for Indoor Navigation(Ph.D. dissertation research, UT Arlington) Designing an LLM-driven agentic system that acts as a navigation coach for indoor environments — where GPS is unavailable and users must rely on spatial understanding, landmarks, and turn-by-turn reasoning. The agent perceives indoor context, plans routes, and delivers adaptive, human-like coaching rather than raw directions. → AgenticCoach

Cognitive Fatigue Detection from Gait(UT Arlington) Developed a Residual Graph Convolutional Network (ResGCN) that detects cognitive fatigue levels from gait-cycle data, modeling skeletal walking patterns as spatio-temporal graphs.

LLM Evaluation & Comparative Analysis Published a peer-reviewed comparative study of large language models (ChatGPT versus Bard, Engineering Reports 2024), covering reasoning, factuality, and task performance.

Automated Model Selection Built and published CurFi, an automated curve-fitting tool that selects the best regression model for a dataset — open source and paired with its paper. → curfi.js

📄 Selected Publications

  • ChatGPT versus Bard: A comparative study.Engineering Reports, vol. 6, no. 11, e12890, 2024
  • CurFi: An automated tool to find the best regression analysis model using curve fitting.Engineering Reports, vol. 4, no. 12, 2022
  • A Deep Learning Approach to Predict Academic Result and Recommend Study Plan for Improving Student's Academic Performance.Ubiquitous Intelligent Systems, 2021 Full list on Google Scholar

⚙️ Production ML & Agentic Systems

Agentic Document Intelligence at Scale — End-to-end LLM + ML system for multi-output classification: LLM clause extraction over 1,292 OCR-parsed contracts + CatBoost ensemble trained on 4M+ records, served via Databricks/MLflow and scoring 62K+ line items in production. (Trinity Industries)

Ensemble Forecasting — 4-model ensemble with 60+ engineered features, KMeans segmentation (automated k via knee detection), and per-cluster random forests producing confidence-bounded daily forecasts. (Trinity Industries)

Agentic AI & Developer Tooling — Claude Code workflows (skills, sub-agents, hooks, MCP), agent architectures with capability-based security, and VS Code tooling. → claude-config


🛠️ Tech Stack

LLM / GenAI

Claude APIClaude CodeRAGMCPPrompt Evaluation

ML / Data

PyTorchTensorFlowDatabricksMLflowPySparkCatBoostscikit-learnPandas

Languages

PythonC++JavaGoTypeScriptSQL

Full Stack

ReactNext.jsNode.jsDjangoPostgreSQLMongoDB

Cloud & Tools

AzureGCPDockerKubernetesAzure DevOpsGit


📊 GitHub Stats

GitHub Stats

GitHub Stats


📬 Get in Touch

LinkedInWebsiteEmailDev.to

Pinned Loading

  1. curfi.jscurfi.jsPublic

    Automated, fast, minimalist Curve-Fitting tool for the browser and node.js.

    JavaScript 6 1

  2. digitsdigitsPublic

    Digits Recognize with Drawing(HTML Canvas). The Machine Learning Model can recognize any Handwritten Digit.

    Jupyter Notebook 1

  3. AlienVasion-GameAlienVasion-GamePublic

    A shooting game which is designed for your leisure time!

    C 2 1

  4. AynCalculatorAynCalculatorPublic

    Android App Scientific Calculator and Converters.

    Java 9 2

, '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" + '
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royayon/README.md

Hi there 👋, I'm Ayon Roy

Ph.D. Candidate in Computer Science • AI/ML Researcher • GenAI Engineer

I'm a Ph.D. candidate in Computer Science at The University of Texas at Arlington, researching Agentic AI for indoor navigation, building an Agentic AI navigation coach that perceives, reasons about, and guides users through indoor environments where GPS fails. My broader work spans LLM-driven agent architectures, graph neural networks for human activity understanding, and taking models from paper to deployed production systems.

Research interests: Agentic AI • Indoor Navigation & Spatial Reasoning • LLM Agent Architectures • Graph Neural Networks • Applied ML

🔗 ayonroy.comLinkedInGoogle Scholar • 📫 royshouhag@gmail.com


🔬 Research

Agentic AI Navigation Coach for Indoor Navigation(Ph.D. dissertation research, UT Arlington) Designing an LLM-driven agentic system that acts as a navigation coach for indoor environments — where GPS is unavailable and users must rely on spatial understanding, landmarks, and turn-by-turn reasoning. The agent perceives indoor context, plans routes, and delivers adaptive, human-like coaching rather than raw directions. → AgenticCoach

Cognitive Fatigue Detection from Gait(UT Arlington) Developed a Residual Graph Convolutional Network (ResGCN) that detects cognitive fatigue levels from gait-cycle data, modeling skeletal walking patterns as spatio-temporal graphs.

LLM Evaluation & Comparative Analysis Published a peer-reviewed comparative study of large language models (ChatGPT versus Bard, Engineering Reports 2024), covering reasoning, factuality, and task performance.

Automated Model Selection Built and published CurFi, an automated curve-fitting tool that selects the best regression model for a dataset — open source and paired with its paper. → curfi.js

📄 Selected Publications

  • ChatGPT versus Bard: A comparative study.Engineering Reports, vol. 6, no. 11, e12890, 2024
  • CurFi: An automated tool to find the best regression analysis model using curve fitting.Engineering Reports, vol. 4, no. 12, 2022
  • A Deep Learning Approach to Predict Academic Result and Recommend Study Plan for Improving Student's Academic Performance.Ubiquitous Intelligent Systems, 2021 Full list on Google Scholar

⚙️ Production ML & Agentic Systems

Agentic Document Intelligence at Scale — End-to-end LLM + ML system for multi-output classification: LLM clause extraction over 1,292 OCR-parsed contracts + CatBoost ensemble trained on 4M+ records, served via Databricks/MLflow and scoring 62K+ line items in production. (Trinity Industries)

Ensemble Forecasting — 4-model ensemble with 60+ engineered features, KMeans segmentation (automated k via knee detection), and per-cluster random forests producing confidence-bounded daily forecasts. (Trinity Industries)

Agentic AI & Developer Tooling — Claude Code workflows (skills, sub-agents, hooks, MCP), agent architectures with capability-based security, and VS Code tooling. → claude-config


🛠️ Tech Stack

LLM / GenAI

Claude APIClaude CodeRAGMCPPrompt Evaluation

ML / Data

PyTorchTensorFlowDatabricksMLflowPySparkCatBoostscikit-learnPandas

Languages

PythonC++JavaGoTypeScriptSQL

Full Stack

ReactNext.jsNode.jsDjangoPostgreSQLMongoDB

Cloud & Tools

AzureGCPDockerKubernetesAzure DevOpsGit


📊 GitHub Stats

GitHub Stats

GitHub Stats


📬 Get in Touch

LinkedInWebsiteEmailDev.to

Pinned Loading

  1. curfi.jscurfi.jsPublic

    Automated, fast, minimalist Curve-Fitting tool for the browser and node.js.

    JavaScript 6 1

  2. digitsdigitsPublic

    Digits Recognize with Drawing(HTML Canvas). The Machine Learning Model can recognize any Handwritten Digit.

    Jupyter Notebook 1

  3. AlienVasion-GameAlienVasion-GamePublic

    A shooting game which is designed for your leisure time!

    C 2 1

  4. AynCalculatorAynCalculatorPublic

    Android App Scientific Calculator and Converters.

    Java 9 2

, '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('^' + ".*" + '
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royayon/README.md

Hi there 👋, I'm Ayon Roy

Ph.D. Candidate in Computer Science • AI/ML Researcher • GenAI Engineer

I'm a Ph.D. candidate in Computer Science at The University of Texas at Arlington, researching Agentic AI for indoor navigation, building an Agentic AI navigation coach that perceives, reasons about, and guides users through indoor environments where GPS fails. My broader work spans LLM-driven agent architectures, graph neural networks for human activity understanding, and taking models from paper to deployed production systems.

Research interests: Agentic AI • Indoor Navigation & Spatial Reasoning • LLM Agent Architectures • Graph Neural Networks • Applied ML

🔗 ayonroy.comLinkedInGoogle Scholar • 📫 royshouhag@gmail.com


🔬 Research

Agentic AI Navigation Coach for Indoor Navigation(Ph.D. dissertation research, UT Arlington) Designing an LLM-driven agentic system that acts as a navigation coach for indoor environments — where GPS is unavailable and users must rely on spatial understanding, landmarks, and turn-by-turn reasoning. The agent perceives indoor context, plans routes, and delivers adaptive, human-like coaching rather than raw directions. → AgenticCoach

Cognitive Fatigue Detection from Gait(UT Arlington) Developed a Residual Graph Convolutional Network (ResGCN) that detects cognitive fatigue levels from gait-cycle data, modeling skeletal walking patterns as spatio-temporal graphs.

LLM Evaluation & Comparative Analysis Published a peer-reviewed comparative study of large language models (ChatGPT versus Bard, Engineering Reports 2024), covering reasoning, factuality, and task performance.

Automated Model Selection Built and published CurFi, an automated curve-fitting tool that selects the best regression model for a dataset — open source and paired with its paper. → curfi.js

📄 Selected Publications

  • ChatGPT versus Bard: A comparative study.Engineering Reports, vol. 6, no. 11, e12890, 2024
  • CurFi: An automated tool to find the best regression analysis model using curve fitting.Engineering Reports, vol. 4, no. 12, 2022
  • A Deep Learning Approach to Predict Academic Result and Recommend Study Plan for Improving Student's Academic Performance.Ubiquitous Intelligent Systems, 2021 Full list on Google Scholar

⚙️ Production ML & Agentic Systems

Agentic Document Intelligence at Scale — End-to-end LLM + ML system for multi-output classification: LLM clause extraction over 1,292 OCR-parsed contracts + CatBoost ensemble trained on 4M+ records, served via Databricks/MLflow and scoring 62K+ line items in production. (Trinity Industries)

Ensemble Forecasting — 4-model ensemble with 60+ engineered features, KMeans segmentation (automated k via knee detection), and per-cluster random forests producing confidence-bounded daily forecasts. (Trinity Industries)

Agentic AI & Developer Tooling — Claude Code workflows (skills, sub-agents, hooks, MCP), agent architectures with capability-based security, and VS Code tooling. → claude-config


🛠️ Tech Stack

LLM / GenAI

Claude APIClaude CodeRAGMCPPrompt Evaluation

ML / Data

PyTorchTensorFlowDatabricksMLflowPySparkCatBoostscikit-learnPandas

Languages

PythonC++JavaGoTypeScriptSQL

Full Stack

ReactNext.jsNode.jsDjangoPostgreSQLMongoDB

Cloud & Tools

AzureGCPDockerKubernetesAzure DevOpsGit


📊 GitHub Stats

GitHub Stats

GitHub Stats


📬 Get in Touch

LinkedInWebsiteEmailDev.to

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, '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('^' + ".*" + '
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royayon/README.md

Hi there 👋, I'm Ayon Roy

Ph.D. Candidate in Computer Science • AI/ML Researcher • GenAI Engineer

I'm a Ph.D. candidate in Computer Science at The University of Texas at Arlington, researching Agentic AI for indoor navigation, building an Agentic AI navigation coach that perceives, reasons about, and guides users through indoor environments where GPS fails. My broader work spans LLM-driven agent architectures, graph neural networks for human activity understanding, and taking models from paper to deployed production systems.

Research interests: Agentic AI • Indoor Navigation & Spatial Reasoning • LLM Agent Architectures • Graph Neural Networks • Applied ML

🔗 ayonroy.comLinkedInGoogle Scholar • 📫 royshouhag@gmail.com


🔬 Research

Agentic AI Navigation Coach for Indoor Navigation(Ph.D. dissertation research, UT Arlington) Designing an LLM-driven agentic system that acts as a navigation coach for indoor environments — where GPS is unavailable and users must rely on spatial understanding, landmarks, and turn-by-turn reasoning. The agent perceives indoor context, plans routes, and delivers adaptive, human-like coaching rather than raw directions. → AgenticCoach

Cognitive Fatigue Detection from Gait(UT Arlington) Developed a Residual Graph Convolutional Network (ResGCN) that detects cognitive fatigue levels from gait-cycle data, modeling skeletal walking patterns as spatio-temporal graphs.

LLM Evaluation & Comparative Analysis Published a peer-reviewed comparative study of large language models (ChatGPT versus Bard, Engineering Reports 2024), covering reasoning, factuality, and task performance.

Automated Model Selection Built and published CurFi, an automated curve-fitting tool that selects the best regression model for a dataset — open source and paired with its paper. → curfi.js

📄 Selected Publications

  • ChatGPT versus Bard: A comparative study.Engineering Reports, vol. 6, no. 11, e12890, 2024
  • CurFi: An automated tool to find the best regression analysis model using curve fitting.Engineering Reports, vol. 4, no. 12, 2022
  • A Deep Learning Approach to Predict Academic Result and Recommend Study Plan for Improving Student's Academic Performance.Ubiquitous Intelligent Systems, 2021 Full list on Google Scholar

⚙️ Production ML & Agentic Systems

Agentic Document Intelligence at Scale — End-to-end LLM + ML system for multi-output classification: LLM clause extraction over 1,292 OCR-parsed contracts + CatBoost ensemble trained on 4M+ records, served via Databricks/MLflow and scoring 62K+ line items in production. (Trinity Industries)

Ensemble Forecasting — 4-model ensemble with 60+ engineered features, KMeans segmentation (automated k via knee detection), and per-cluster random forests producing confidence-bounded daily forecasts. (Trinity Industries)

Agentic AI & Developer Tooling — Claude Code workflows (skills, sub-agents, hooks, MCP), agent architectures with capability-based security, and VS Code tooling. → claude-config


🛠️ Tech Stack

LLM / GenAI

Claude APIClaude CodeRAGMCPPrompt Evaluation

ML / Data

PyTorchTensorFlowDatabricksMLflowPySparkCatBoostscikit-learnPandas

Languages

PythonC++JavaGoTypeScriptSQL

Full Stack

ReactNext.jsNode.jsDjangoPostgreSQLMongoDB

Cloud & Tools

AzureGCPDockerKubernetesAzure DevOpsGit


📊 GitHub Stats

GitHub Stats

GitHub Stats


📬 Get in Touch

LinkedInWebsiteEmailDev.to

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    Automated, fast, minimalist Curve-Fitting tool for the browser and node.js.

    JavaScript 6 1

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    Digits Recognize with Drawing(HTML Canvas). The Machine Learning Model can recognize any Handwritten Digit.

    Jupyter Notebook 1

  3. AlienVasion-GameAlienVasion-GamePublic

    A shooting game which is designed for your leisure time!

    C 2 1

  4. AynCalculatorAynCalculatorPublic

    Android App Scientific Calculator and Converters.

    Java 9 2

, '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); } })(); })();
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royayon/README.md

Hi there 👋, I'm Ayon Roy

Ph.D. Candidate in Computer Science • AI/ML Researcher • GenAI Engineer

I'm a Ph.D. candidate in Computer Science at The University of Texas at Arlington, researching Agentic AI for indoor navigation, building an Agentic AI navigation coach that perceives, reasons about, and guides users through indoor environments where GPS fails. My broader work spans LLM-driven agent architectures, graph neural networks for human activity understanding, and taking models from paper to deployed production systems.

Research interests: Agentic AI • Indoor Navigation & Spatial Reasoning • LLM Agent Architectures • Graph Neural Networks • Applied ML

🔗 ayonroy.comLinkedInGoogle Scholar • 📫 royshouhag@gmail.com


🔬 Research

Agentic AI Navigation Coach for Indoor Navigation(Ph.D. dissertation research, UT Arlington) Designing an LLM-driven agentic system that acts as a navigation coach for indoor environments — where GPS is unavailable and users must rely on spatial understanding, landmarks, and turn-by-turn reasoning. The agent perceives indoor context, plans routes, and delivers adaptive, human-like coaching rather than raw directions. → AgenticCoach

Cognitive Fatigue Detection from Gait(UT Arlington) Developed a Residual Graph Convolutional Network (ResGCN) that detects cognitive fatigue levels from gait-cycle data, modeling skeletal walking patterns as spatio-temporal graphs.

LLM Evaluation & Comparative Analysis Published a peer-reviewed comparative study of large language models (ChatGPT versus Bard, Engineering Reports 2024), covering reasoning, factuality, and task performance.

Automated Model Selection Built and published CurFi, an automated curve-fitting tool that selects the best regression model for a dataset — open source and paired with its paper. → curfi.js

📄 Selected Publications

  • ChatGPT versus Bard: A comparative study.Engineering Reports, vol. 6, no. 11, e12890, 2024
  • CurFi: An automated tool to find the best regression analysis model using curve fitting.Engineering Reports, vol. 4, no. 12, 2022
  • A Deep Learning Approach to Predict Academic Result and Recommend Study Plan for Improving Student's Academic Performance.Ubiquitous Intelligent Systems, 2021 Full list on Google Scholar

⚙️ Production ML & Agentic Systems

Agentic Document Intelligence at Scale — End-to-end LLM + ML system for multi-output classification: LLM clause extraction over 1,292 OCR-parsed contracts + CatBoost ensemble trained on 4M+ records, served via Databricks/MLflow and scoring 62K+ line items in production. (Trinity Industries)

Ensemble Forecasting — 4-model ensemble with 60+ engineered features, KMeans segmentation (automated k via knee detection), and per-cluster random forests producing confidence-bounded daily forecasts. (Trinity Industries)

Agentic AI & Developer Tooling — Claude Code workflows (skills, sub-agents, hooks, MCP), agent architectures with capability-based security, and VS Code tooling. → claude-config


🛠️ Tech Stack

LLM / GenAI

Claude APIClaude CodeRAGMCPPrompt Evaluation

ML / Data

PyTorchTensorFlowDatabricksMLflowPySparkCatBoostscikit-learnPandas

Languages

PythonC++JavaGoTypeScriptSQL

Full Stack

ReactNext.jsNode.jsDjangoPostgreSQLMongoDB

Cloud & Tools

AzureGCPDockerKubernetesAzure DevOpsGit


📊 GitHub Stats

GitHub Stats

GitHub Stats


📬 Get in Touch

LinkedInWebsiteEmailDev.to

Pinned Loading

  1. curfi.jscurfi.jsPublic

    Automated, fast, minimalist Curve-Fitting tool for the browser and node.js.

    JavaScript 6 1

  2. digitsdigitsPublic

    Digits Recognize with Drawing(HTML Canvas). The Machine Learning Model can recognize any Handwritten Digit.

    Jupyter Notebook 1

  3. AlienVasion-GameAlienVasion-GamePublic

    A shooting game which is designed for your leisure time!

    C 2 1

  4. AynCalculatorAynCalculatorPublic

    Android App Scientific Calculator and Converters.

    Java 9 2