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pedro-cf/README.md

Hi there 👋

I design and build AI and ML data pipelines for geospatial products. I work mostly with Python, Airflow, Docker and FastAPI to turn raw spatial data into reliable, production ready services and APIs. My focus is on building pipelines that are robust, observable and easy to evolve as business needs change.

My work moves between data engineering, platform integration and applied machine learning. I like abstracting ML jobs into reusable tasks instead of one off scripts, and shaping messy real world data into well designed workflows that other teams can actually use. I care about clear architecture, clean code, sensible CI/CD and good collaboration with data, platform and DevOps teams.

Areas I work with

  • AI and ML driven data pipelines
  • Geospatial and remote sensing data
  • Workflow orchestration with Airflow
  • Backend and data APIs with FastAPI
  • Containerisation and developer experience with Docker
  • Pipeline architecture, ML job abstraction and configuration driven workflows
  • Monitoring, CI/CD and continuous improvement of data systems

I am always open to connecting with people working on data platforms, geospatial products or applied AI.

💻 Tech Stack

Python
Apache AirflowApache Sparkmlflow
FastAPIFlaskNumPyPandas
MongoDBPostgresMicrosoftSQLServerElasticSearch
MinIOS3Azure Blob Storage
AWSAzureDockerKubernetesLinux
STACGeoserverMapstore

📫 How to reach me

LinkedIn

☕ Support

If you find my projects useful, consider buying me a coffee! Donations help keep my projects going and are greatly appreciated.

Buy me a coffee

Thanks for stopping by, and feel free to check out my repositories! 👨‍💻

Pinned Loading

  1. stac-utils/stac-fastapi-elasticsearch-opensearchstac-utils/stac-fastapi-elasticsearch-opensearchPublic

    Elasticsearch backend for stac-fastapi with Opensearch support.

    Python 79 48

  2. Healy-Hyperspatial/stac-fastapi-mongoHealy-Hyperspatial/stac-fastapi-mongoPublic

    Mongodb backend for stac-fastapi built on the stac-fastapi-elasticsearch core api library.

    Python 9 2

  3. ez_monitorez_monitorPublic

    JavaScript 2

  4. Docker-Log-WatcherDocker-Log-WatcherPublic

    HTML 5

  5. PowerBI-Report-WatcherPowerBI-Report-WatcherPublic

    Power BI Report Watcher

    PowerShell 4

  6. Turing-Machine-SimulatorTuring-Machine-SimulatorPublic

    JavaScript 4

, '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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pedro-cf/README.md

Hi there 👋

I design and build AI and ML data pipelines for geospatial products. I work mostly with Python, Airflow, Docker and FastAPI to turn raw spatial data into reliable, production ready services and APIs. My focus is on building pipelines that are robust, observable and easy to evolve as business needs change.

My work moves between data engineering, platform integration and applied machine learning. I like abstracting ML jobs into reusable tasks instead of one off scripts, and shaping messy real world data into well designed workflows that other teams can actually use. I care about clear architecture, clean code, sensible CI/CD and good collaboration with data, platform and DevOps teams.

Areas I work with

  • AI and ML driven data pipelines
  • Geospatial and remote sensing data
  • Workflow orchestration with Airflow
  • Backend and data APIs with FastAPI
  • Containerisation and developer experience with Docker
  • Pipeline architecture, ML job abstraction and configuration driven workflows
  • Monitoring, CI/CD and continuous improvement of data systems

I am always open to connecting with people working on data platforms, geospatial products or applied AI.

💻 Tech Stack

Python
Apache AirflowApache Sparkmlflow
FastAPIFlaskNumPyPandas
MongoDBPostgresMicrosoftSQLServerElasticSearch
MinIOS3Azure Blob Storage
AWSAzureDockerKubernetesLinux
STACGeoserverMapstore

📫 How to reach me

LinkedIn

☕ Support

If you find my projects useful, consider buying me a coffee! Donations help keep my projects going and are greatly appreciated.

Buy me a coffee

Thanks for stopping by, and feel free to check out my repositories! 👨‍💻

Pinned Loading

  1. stac-utils/stac-fastapi-elasticsearch-opensearchstac-utils/stac-fastapi-elasticsearch-opensearchPublic

    Elasticsearch backend for stac-fastapi with Opensearch support.

    Python 79 48

  2. Healy-Hyperspatial/stac-fastapi-mongoHealy-Hyperspatial/stac-fastapi-mongoPublic

    Mongodb backend for stac-fastapi built on the stac-fastapi-elasticsearch core api library.

    Python 9 2

  3. ez_monitorez_monitorPublic

    JavaScript 2

  4. Docker-Log-WatcherDocker-Log-WatcherPublic

    HTML 5

  5. PowerBI-Report-WatcherPowerBI-Report-WatcherPublic

    Power BI Report Watcher

    PowerShell 4

  6. Turing-Machine-SimulatorTuring-Machine-SimulatorPublic

    JavaScript 4

, '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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pedro-cf/README.md

Hi there 👋

I design and build AI and ML data pipelines for geospatial products. I work mostly with Python, Airflow, Docker and FastAPI to turn raw spatial data into reliable, production ready services and APIs. My focus is on building pipelines that are robust, observable and easy to evolve as business needs change.

My work moves between data engineering, platform integration and applied machine learning. I like abstracting ML jobs into reusable tasks instead of one off scripts, and shaping messy real world data into well designed workflows that other teams can actually use. I care about clear architecture, clean code, sensible CI/CD and good collaboration with data, platform and DevOps teams.

Areas I work with

  • AI and ML driven data pipelines
  • Geospatial and remote sensing data
  • Workflow orchestration with Airflow
  • Backend and data APIs with FastAPI
  • Containerisation and developer experience with Docker
  • Pipeline architecture, ML job abstraction and configuration driven workflows
  • Monitoring, CI/CD and continuous improvement of data systems

I am always open to connecting with people working on data platforms, geospatial products or applied AI.

💻 Tech Stack

Python
Apache AirflowApache Sparkmlflow
FastAPIFlaskNumPyPandas
MongoDBPostgresMicrosoftSQLServerElasticSearch
MinIOS3Azure Blob Storage
AWSAzureDockerKubernetesLinux
STACGeoserverMapstore

📫 How to reach me

LinkedIn

☕ Support

If you find my projects useful, consider buying me a coffee! Donations help keep my projects going and are greatly appreciated.

Buy me a coffee

Thanks for stopping by, and feel free to check out my repositories! 👨‍💻

Pinned Loading

  1. stac-utils/stac-fastapi-elasticsearch-opensearchstac-utils/stac-fastapi-elasticsearch-opensearchPublic

    Elasticsearch backend for stac-fastapi with Opensearch support.

    Python 79 48

  2. Healy-Hyperspatial/stac-fastapi-mongoHealy-Hyperspatial/stac-fastapi-mongoPublic

    Mongodb backend for stac-fastapi built on the stac-fastapi-elasticsearch core api library.

    Python 9 2

  3. ez_monitorez_monitorPublic

    JavaScript 2

  4. Docker-Log-WatcherDocker-Log-WatcherPublic

    HTML 5

  5. PowerBI-Report-WatcherPowerBI-Report-WatcherPublic

    Power BI Report Watcher

    PowerShell 4

  6. Turing-Machine-SimulatorTuring-Machine-SimulatorPublic

    JavaScript 4

, '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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pedro-cf/README.md

Hi there 👋

I design and build AI and ML data pipelines for geospatial products. I work mostly with Python, Airflow, Docker and FastAPI to turn raw spatial data into reliable, production ready services and APIs. My focus is on building pipelines that are robust, observable and easy to evolve as business needs change.

My work moves between data engineering, platform integration and applied machine learning. I like abstracting ML jobs into reusable tasks instead of one off scripts, and shaping messy real world data into well designed workflows that other teams can actually use. I care about clear architecture, clean code, sensible CI/CD and good collaboration with data, platform and DevOps teams.

Areas I work with

  • AI and ML driven data pipelines
  • Geospatial and remote sensing data
  • Workflow orchestration with Airflow
  • Backend and data APIs with FastAPI
  • Containerisation and developer experience with Docker
  • Pipeline architecture, ML job abstraction and configuration driven workflows
  • Monitoring, CI/CD and continuous improvement of data systems

I am always open to connecting with people working on data platforms, geospatial products or applied AI.

💻 Tech Stack

Python
Apache AirflowApache Sparkmlflow
FastAPIFlaskNumPyPandas
MongoDBPostgresMicrosoftSQLServerElasticSearch
MinIOS3Azure Blob Storage
AWSAzureDockerKubernetesLinux
STACGeoserverMapstore

📫 How to reach me

LinkedIn

☕ Support

If you find my projects useful, consider buying me a coffee! Donations help keep my projects going and are greatly appreciated.

Buy me a coffee

Thanks for stopping by, and feel free to check out my repositories! 👨‍💻

Pinned Loading

  1. stac-utils/stac-fastapi-elasticsearch-opensearchstac-utils/stac-fastapi-elasticsearch-opensearchPublic

    Elasticsearch backend for stac-fastapi with Opensearch support.

    Python 79 48

  2. Healy-Hyperspatial/stac-fastapi-mongoHealy-Hyperspatial/stac-fastapi-mongoPublic

    Mongodb backend for stac-fastapi built on the stac-fastapi-elasticsearch core api library.

    Python 9 2

  3. ez_monitorez_monitorPublic

    JavaScript 2

  4. Docker-Log-WatcherDocker-Log-WatcherPublic

    HTML 5

  5. PowerBI-Report-WatcherPowerBI-Report-WatcherPublic

    Power BI Report Watcher

    PowerShell 4

  6. Turing-Machine-SimulatorTuring-Machine-SimulatorPublic

    JavaScript 4

, '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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pedro-cf/README.md

Hi there 👋

I design and build AI and ML data pipelines for geospatial products. I work mostly with Python, Airflow, Docker and FastAPI to turn raw spatial data into reliable, production ready services and APIs. My focus is on building pipelines that are robust, observable and easy to evolve as business needs change.

My work moves between data engineering, platform integration and applied machine learning. I like abstracting ML jobs into reusable tasks instead of one off scripts, and shaping messy real world data into well designed workflows that other teams can actually use. I care about clear architecture, clean code, sensible CI/CD and good collaboration with data, platform and DevOps teams.

Areas I work with

  • AI and ML driven data pipelines
  • Geospatial and remote sensing data
  • Workflow orchestration with Airflow
  • Backend and data APIs with FastAPI
  • Containerisation and developer experience with Docker
  • Pipeline architecture, ML job abstraction and configuration driven workflows
  • Monitoring, CI/CD and continuous improvement of data systems

I am always open to connecting with people working on data platforms, geospatial products or applied AI.

💻 Tech Stack

Python
Apache AirflowApache Sparkmlflow
FastAPIFlaskNumPyPandas
MongoDBPostgresMicrosoftSQLServerElasticSearch
MinIOS3Azure Blob Storage
AWSAzureDockerKubernetesLinux
STACGeoserverMapstore

📫 How to reach me

LinkedIn

☕ Support

If you find my projects useful, consider buying me a coffee! Donations help keep my projects going and are greatly appreciated.

Buy me a coffee

Thanks for stopping by, and feel free to check out my repositories! 👨‍💻

Pinned Loading

  1. stac-utils/stac-fastapi-elasticsearch-opensearchstac-utils/stac-fastapi-elasticsearch-opensearchPublic

    Elasticsearch backend for stac-fastapi with Opensearch support.

    Python 79 48

  2. Healy-Hyperspatial/stac-fastapi-mongoHealy-Hyperspatial/stac-fastapi-mongoPublic

    Mongodb backend for stac-fastapi built on the stac-fastapi-elasticsearch core api library.

    Python 9 2

  3. ez_monitorez_monitorPublic

    JavaScript 2

  4. Docker-Log-WatcherDocker-Log-WatcherPublic

    HTML 5

  5. PowerBI-Report-WatcherPowerBI-Report-WatcherPublic

    Power BI Report Watcher

    PowerShell 4

  6. Turing-Machine-SimulatorTuring-Machine-SimulatorPublic

    JavaScript 4

, '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
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pedro-cf/README.md

Hi there 👋

I design and build AI and ML data pipelines for geospatial products. I work mostly with Python, Airflow, Docker and FastAPI to turn raw spatial data into reliable, production ready services and APIs. My focus is on building pipelines that are robust, observable and easy to evolve as business needs change.

My work moves between data engineering, platform integration and applied machine learning. I like abstracting ML jobs into reusable tasks instead of one off scripts, and shaping messy real world data into well designed workflows that other teams can actually use. I care about clear architecture, clean code, sensible CI/CD and good collaboration with data, platform and DevOps teams.

Areas I work with

  • AI and ML driven data pipelines
  • Geospatial and remote sensing data
  • Workflow orchestration with Airflow
  • Backend and data APIs with FastAPI
  • Containerisation and developer experience with Docker
  • Pipeline architecture, ML job abstraction and configuration driven workflows
  • Monitoring, CI/CD and continuous improvement of data systems

I am always open to connecting with people working on data platforms, geospatial products or applied AI.

💻 Tech Stack

Python
Apache AirflowApache Sparkmlflow
FastAPIFlaskNumPyPandas
MongoDBPostgresMicrosoftSQLServerElasticSearch
MinIOS3Azure Blob Storage
AWSAzureDockerKubernetesLinux
STACGeoserverMapstore

📫 How to reach me

LinkedIn

☕ Support

If you find my projects useful, consider buying me a coffee! Donations help keep my projects going and are greatly appreciated.

Buy me a coffee

Thanks for stopping by, and feel free to check out my repositories! 👨‍💻

Pinned Loading

  1. stac-utils/stac-fastapi-elasticsearch-opensearchstac-utils/stac-fastapi-elasticsearch-opensearchPublic

    Elasticsearch backend for stac-fastapi with Opensearch support.

    Python 79 48

  2. Healy-Hyperspatial/stac-fastapi-mongoHealy-Hyperspatial/stac-fastapi-mongoPublic

    Mongodb backend for stac-fastapi built on the stac-fastapi-elasticsearch core api library.

    Python 9 2

  3. ez_monitorez_monitorPublic

    JavaScript 2

  4. Docker-Log-WatcherDocker-Log-WatcherPublic

    HTML 5

  5. PowerBI-Report-WatcherPowerBI-Report-WatcherPublic

    Power BI Report Watcher

    PowerShell 4

  6. Turing-Machine-SimulatorTuring-Machine-SimulatorPublic

    JavaScript 4

, '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
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Report abuse

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Report abuse
pedro-cf/README.md

Hi there 👋

I design and build AI and ML data pipelines for geospatial products. I work mostly with Python, Airflow, Docker and FastAPI to turn raw spatial data into reliable, production ready services and APIs. My focus is on building pipelines that are robust, observable and easy to evolve as business needs change.

My work moves between data engineering, platform integration and applied machine learning. I like abstracting ML jobs into reusable tasks instead of one off scripts, and shaping messy real world data into well designed workflows that other teams can actually use. I care about clear architecture, clean code, sensible CI/CD and good collaboration with data, platform and DevOps teams.

Areas I work with

  • AI and ML driven data pipelines
  • Geospatial and remote sensing data
  • Workflow orchestration with Airflow
  • Backend and data APIs with FastAPI
  • Containerisation and developer experience with Docker
  • Pipeline architecture, ML job abstraction and configuration driven workflows
  • Monitoring, CI/CD and continuous improvement of data systems

I am always open to connecting with people working on data platforms, geospatial products or applied AI.

💻 Tech Stack

Python
Apache AirflowApache Sparkmlflow
FastAPIFlaskNumPyPandas
MongoDBPostgresMicrosoftSQLServerElasticSearch
MinIOS3Azure Blob Storage
AWSAzureDockerKubernetesLinux
STACGeoserverMapstore

📫 How to reach me

LinkedIn

☕ Support

If you find my projects useful, consider buying me a coffee! Donations help keep my projects going and are greatly appreciated.

Buy me a coffee

Thanks for stopping by, and feel free to check out my repositories! 👨‍💻

Pinned Loading

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, '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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pedro-cf/README.md

Hi there 👋

I design and build AI and ML data pipelines for geospatial products. I work mostly with Python, Airflow, Docker and FastAPI to turn raw spatial data into reliable, production ready services and APIs. My focus is on building pipelines that are robust, observable and easy to evolve as business needs change.

My work moves between data engineering, platform integration and applied machine learning. I like abstracting ML jobs into reusable tasks instead of one off scripts, and shaping messy real world data into well designed workflows that other teams can actually use. I care about clear architecture, clean code, sensible CI/CD and good collaboration with data, platform and DevOps teams.

Areas I work with

  • AI and ML driven data pipelines
  • Geospatial and remote sensing data
  • Workflow orchestration with Airflow
  • Backend and data APIs with FastAPI
  • Containerisation and developer experience with Docker
  • Pipeline architecture, ML job abstraction and configuration driven workflows
  • Monitoring, CI/CD and continuous improvement of data systems

I am always open to connecting with people working on data platforms, geospatial products or applied AI.

💻 Tech Stack

Python
Apache AirflowApache Sparkmlflow
FastAPIFlaskNumPyPandas
MongoDBPostgresMicrosoftSQLServerElasticSearch
MinIOS3Azure Blob Storage
AWSAzureDockerKubernetesLinux
STACGeoserverMapstore

📫 How to reach me

LinkedIn

☕ Support

If you find my projects useful, consider buying me a coffee! Donations help keep my projects going and are greatly appreciated.

Buy me a coffee

Thanks for stopping by, and feel free to check out my repositories! 👨‍💻

Pinned Loading

  1. stac-utils/stac-fastapi-elasticsearch-opensearchstac-utils/stac-fastapi-elasticsearch-opensearchPublic

    Elasticsearch backend for stac-fastapi with Opensearch support.

    Python 79 48

  2. Healy-Hyperspatial/stac-fastapi-mongoHealy-Hyperspatial/stac-fastapi-mongoPublic

    Mongodb backend for stac-fastapi built on the stac-fastapi-elasticsearch core api library.

    Python 9 2

  3. ez_monitorez_monitorPublic

    JavaScript 2

  4. Docker-Log-WatcherDocker-Log-WatcherPublic

    HTML 5

  5. PowerBI-Report-WatcherPowerBI-Report-WatcherPublic

    Power BI Report Watcher

    PowerShell 4

  6. Turing-Machine-SimulatorTuring-Machine-SimulatorPublic

    JavaScript 4