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Achievement: Pull Sharkx3Achievement: YOLOAchievement: Pair Extraordinaire

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MartinPavella/README.md

👋 About Me

I hold a Master’s degree in Machine Learning from Brno University of Technology, graduating with distinction at both bachelor’s and master’s levels. I currently work as an AI/ML Software Engineer and Lead Developer at NXP Semiconductors with 3 years of experience. I won the 2025 iGEM grand prize along with three special prizes and two nominations.

My work focuses on deploying machine learning models on resource‑constrained and embedded platforms, bridging the gap between cutting‑edge AI research and real‑world silicon. I have hands‑on experience with PyTorch, ExecuTorch, and the end‑to‑end optimization of ML pipelines for MCU‑class devices, including model compression, quantization, and runtime performance tuning.

🎤 Speaking & Community

PyTorch Conference 2026 Speaker Badge

Awarded by the Linux Foundation for speaking at the PyTorch Conference 2026.

Lightning Talk: Flexible Deployment of PyTorch Models on MCU‑Class Devices using ExecuTorch
Robert Kalmar & Martin Pavella (NXP)

My Awesome Stats

Pinned Loading

  1. ONNX2TFLiteONNX2TFLitePublic

    Python 3

  2. HybridDNNHybridDNNPublic

    Python 2

  3. AdaFaceAdaFacePublic

    Forked from mk-minchul/AdaFace

    Jupyter Notebook

  4. BioReactorManagerBioReactorManagerPublic

    JavaScript

  5. BioReactorNodeBioReactorNodePublic

    C++

  6. pytorch/executorchpytorch/executorchPublic

    On-device AI across mobile, embedded and edge for PyTorch

    Python 5k 1.1k

, '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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Achievements
Achievement: Pull Sharkx3Achievement: YOLOAchievement: Pair Extraordinaire

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MartinPavella/README.md
👋 About Me
I hold a Master’s degree in Machine Learning from Brno University of Technology, graduating with distinction at both bachelor’s and master’s levels. I currently work as an AI/ML Software Engineer and Lead Developer at NXP Semiconductors with 3 years of experience. I won the 2025 iGEM grand prize along with three special prizes and two nominations.
My work focuses on deploying machine learning models on resource‑constrained and embedded platforms, bridging the gap between cutting‑edge AI research and real‑world silicon. I have hands‑on experience with PyTorch, ExecuTorch, and the end‑to‑end optimization of ML pipelines for MCU‑class devices, including model compression, quantization, and runtime performance tuning.
🎤 Speaking & Community
PyTorch Conference 2026 Speaker Badge
Awarded by the Linux Foundation for speaking at the PyTorch Conference 2026.
Lightning Talk: Flexible Deployment of PyTorch Models on MCU‑Class Devices using ExecuTorch

Robert Kalmar & Martin Pavella (NXP)
My Awesome Stats

Pinned
Loading
  1. ONNX2TFLiteONNX2TFLitePublic
    Python
3

  2. HybridDNNHybridDNNPublic
    Python
2

  3. AdaFaceAdaFacePublic
    
Forked from mk-minchul/AdaFace
    Jupyter Notebook
  4. BioReactorManagerBioReactorManagerPublic
    JavaScript
  5. BioReactorNodeBioReactorNodePublic
    C++
  6. pytorch/executorchpytorch/executorchPublic
    
On-device AI across mobile, embedded and edge for PyTorch

    Python
5k

1.1k


, '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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Achievements
Achievement: Pull Sharkx3Achievement: YOLOAchievement: Pair Extraordinaire
Achievements
Achievement: Pull Sharkx3Achievement: YOLOAchievement: Pair Extraordinaire

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MartinPavella/README.md
👋 About Me
I hold a Master’s degree in Machine Learning from Brno University of Technology, graduating with distinction at both bachelor’s and master’s levels. I currently work as an AI/ML Software Engineer and Lead Developer at NXP Semiconductors with 3 years of experience. I won the 2025 iGEM grand prize along with three special prizes and two nominations.
My work focuses on deploying machine learning models on resource‑constrained and embedded platforms, bridging the gap between cutting‑edge AI research and real‑world silicon. I have hands‑on experience with PyTorch, ExecuTorch, and the end‑to‑end optimization of ML pipelines for MCU‑class devices, including model compression, quantization, and runtime performance tuning.
🎤 Speaking & Community
PyTorch Conference 2026 Speaker Badge
Awarded by the Linux Foundation for speaking at the PyTorch Conference 2026.
Lightning Talk: Flexible Deployment of PyTorch Models on MCU‑Class Devices using ExecuTorch

Robert Kalmar & Martin Pavella (NXP)
My Awesome Stats

Pinned
Loading
  1. ONNX2TFLiteONNX2TFLitePublic
    Python
3

  2. HybridDNNHybridDNNPublic
    Python
2

  3. AdaFaceAdaFacePublic
    
Forked from mk-minchul/AdaFace
    Jupyter Notebook
  4. BioReactorManagerBioReactorManagerPublic
    JavaScript
  5. BioReactorNodeBioReactorNodePublic
    C++
  6. pytorch/executorchpytorch/executorchPublic
    
On-device AI across mobile, embedded and edge for PyTorch

    Python
5k

1.1k


, '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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Achievements
Achievement: Pull Sharkx3Achievement: YOLOAchievement: Pair Extraordinaire
Achievements
Achievement: Pull Sharkx3Achievement: YOLOAchievement: Pair Extraordinaire

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MartinPavella/README.md
👋 About Me
I hold a Master’s degree in Machine Learning from Brno University of Technology, graduating with distinction at both bachelor’s and master’s levels. I currently work as an AI/ML Software Engineer and Lead Developer at NXP Semiconductors with 3 years of experience. I won the 2025 iGEM grand prize along with three special prizes and two nominations.
My work focuses on deploying machine learning models on resource‑constrained and embedded platforms, bridging the gap between cutting‑edge AI research and real‑world silicon. I have hands‑on experience with PyTorch, ExecuTorch, and the end‑to‑end optimization of ML pipelines for MCU‑class devices, including model compression, quantization, and runtime performance tuning.
🎤 Speaking & Community
PyTorch Conference 2026 Speaker Badge
Awarded by the Linux Foundation for speaking at the PyTorch Conference 2026.
Lightning Talk: Flexible Deployment of PyTorch Models on MCU‑Class Devices using ExecuTorch

Robert Kalmar & Martin Pavella (NXP)
My Awesome Stats

Pinned
Loading
  1. ONNX2TFLiteONNX2TFLitePublic
    Python
3

  2. HybridDNNHybridDNNPublic
    Python
2

  3. AdaFaceAdaFacePublic
    
Forked from mk-minchul/AdaFace
    Jupyter Notebook
  4. BioReactorManagerBioReactorManagerPublic
    JavaScript
  5. BioReactorNodeBioReactorNodePublic
    C++
  6. pytorch/executorchpytorch/executorchPublic
    
On-device AI across mobile, embedded and edge for PyTorch

    Python
5k

1.1k


, '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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 · 0
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Achievements
Achievement: Pull Sharkx3Achievement: YOLOAchievement: Pair Extraordinaire
Achievements
Achievement: Pull Sharkx3Achievement: YOLOAchievement: Pair Extraordinaire

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MartinPavella/README.md
👋 About Me
I hold a Master’s degree in Machine Learning from Brno University of Technology, graduating with distinction at both bachelor’s and master’s levels. I currently work as an AI/ML Software Engineer and Lead Developer at NXP Semiconductors with 3 years of experience. I won the 2025 iGEM grand prize along with three special prizes and two nominations.
My work focuses on deploying machine learning models on resource‑constrained and embedded platforms, bridging the gap between cutting‑edge AI research and real‑world silicon. I have hands‑on experience with PyTorch, ExecuTorch, and the end‑to‑end optimization of ML pipelines for MCU‑class devices, including model compression, quantization, and runtime performance tuning.
🎤 Speaking & Community
PyTorch Conference 2026 Speaker Badge
Awarded by the Linux Foundation for speaking at the PyTorch Conference 2026.
Lightning Talk: Flexible Deployment of PyTorch Models on MCU‑Class Devices using ExecuTorch

Robert Kalmar & Martin Pavella (NXP)
My Awesome Stats

Pinned
Loading
  1. ONNX2TFLiteONNX2TFLitePublic
    Python
3

  2. HybridDNNHybridDNNPublic
    Python
2

  3. AdaFaceAdaFacePublic
    
Forked from mk-minchul/AdaFace
    Jupyter Notebook
  4. BioReactorManagerBioReactorManagerPublic
    JavaScript
  5. BioReactorNodeBioReactorNodePublic
    C++
  6. pytorch/executorchpytorch/executorchPublic
    
On-device AI across mobile, embedded and edge for PyTorch

    Python
5k

1.1k


, '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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 · 0
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Achievements
Achievement: Pull Sharkx3Achievement: YOLOAchievement: Pair Extraordinaire
Achievements
Achievement: Pull Sharkx3Achievement: YOLOAchievement: Pair Extraordinaire

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MartinPavella/README.md
👋 About Me
I hold a Master’s degree in Machine Learning from Brno University of Technology, graduating with distinction at both bachelor’s and master’s levels. I currently work as an AI/ML Software Engineer and Lead Developer at NXP Semiconductors with 3 years of experience. I won the 2025 iGEM grand prize along with three special prizes and two nominations.
My work focuses on deploying machine learning models on resource‑constrained and embedded platforms, bridging the gap between cutting‑edge AI research and real‑world silicon. I have hands‑on experience with PyTorch, ExecuTorch, and the end‑to‑end optimization of ML pipelines for MCU‑class devices, including model compression, quantization, and runtime performance tuning.
🎤 Speaking & Community
PyTorch Conference 2026 Speaker Badge
Awarded by the Linux Foundation for speaking at the PyTorch Conference 2026.
Lightning Talk: Flexible Deployment of PyTorch Models on MCU‑Class Devices using ExecuTorch

Robert Kalmar & Martin Pavella (NXP)
My Awesome Stats

Pinned
Loading
  1. ONNX2TFLiteONNX2TFLitePublic
    Python
3

  2. HybridDNNHybridDNNPublic
    Python
2

  3. AdaFaceAdaFacePublic
    
Forked from mk-minchul/AdaFace
    Jupyter Notebook
  4. BioReactorManagerBioReactorManagerPublic
    JavaScript
  5. BioReactorNodeBioReactorNodePublic
    C++
  6. pytorch/executorchpytorch/executorchPublic
    
On-device AI across mobile, embedded and edge for PyTorch

    Python
5k

1.1k


, '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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1
follower
 · 0
following

Achievements
Achievement: Pull Sharkx3Achievement: YOLOAchievement: Pair Extraordinaire
Achievements
Achievement: Pull Sharkx3Achievement: YOLOAchievement: Pair Extraordinaire

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MartinPavella/README.md
👋 About Me
I hold a Master’s degree in Machine Learning from Brno University of Technology, graduating with distinction at both bachelor’s and master’s levels. I currently work as an AI/ML Software Engineer and Lead Developer at NXP Semiconductors with 3 years of experience. I won the 2025 iGEM grand prize along with three special prizes and two nominations.
My work focuses on deploying machine learning models on resource‑constrained and embedded platforms, bridging the gap between cutting‑edge AI research and real‑world silicon. I have hands‑on experience with PyTorch, ExecuTorch, and the end‑to‑end optimization of ML pipelines for MCU‑class devices, including model compression, quantization, and runtime performance tuning.
🎤 Speaking & Community
PyTorch Conference 2026 Speaker Badge
Awarded by the Linux Foundation for speaking at the PyTorch Conference 2026.
Lightning Talk: Flexible Deployment of PyTorch Models on MCU‑Class Devices using ExecuTorch

Robert Kalmar & Martin Pavella (NXP)
My Awesome Stats

Pinned
Loading
  1. ONNX2TFLiteONNX2TFLitePublic
    Python
3

  2. HybridDNNHybridDNNPublic
    Python
2

  3. AdaFaceAdaFacePublic
    
Forked from mk-minchul/AdaFace
    Jupyter Notebook
  4. BioReactorManagerBioReactorManagerPublic
    JavaScript
  5. BioReactorNodeBioReactorNodePublic
    C++
  6. pytorch/executorchpytorch/executorchPublic
    
On-device AI across mobile, embedded and edge for PyTorch

    Python
5k

1.1k


, '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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MartinPavella/README.md
👋 About Me
I hold a Master’s degree in Machine Learning from Brno University of Technology, graduating with distinction at both bachelor’s and master’s levels. I currently work as an AI/ML Software Engineer and Lead Developer at NXP Semiconductors with 3 years of experience. I won the 2025 iGEM grand prize along with three special prizes and two nominations.
My work focuses on deploying machine learning models on resource‑constrained and embedded platforms, bridging the gap between cutting‑edge AI research and real‑world silicon. I have hands‑on experience with PyTorch, ExecuTorch, and the end‑to‑end optimization of ML pipelines for MCU‑class devices, including model compression, quantization, and runtime performance tuning.
🎤 Speaking & Community
PyTorch Conference 2026 Speaker Badge
Awarded by the Linux Foundation for speaking at the PyTorch Conference 2026.
Lightning Talk: Flexible Deployment of PyTorch Models on MCU‑Class Devices using ExecuTorch

Robert Kalmar & Martin Pavella (NXP)
My Awesome Stats

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