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nikowee/README.md

Hi, I'm Nicholas 👋

I am an aspiring Applied Machine Learning / AI Engineer and a Computer Science & Design undergraduate at SUTD. I focus on bridging the gap between theoretical machine learning models and production-ready software systems. Projects I have explored include custom model fine-tuning, parameter optimisation, and agentic workflows.

Always looking out for opportunities!

🚀 Key Technical Focus Areas

  • Machine Learning & MLOps: Fine-tuning open-weights architectures (LoRA/QLoRA), model quantization engineering (GGUF via llama.cpp), and context-window optimization.
  • Agentic Workflows: Designing state-persistent multi-agent architectures, structured evaluation loops, and deterministic human-in-the-loop guardrails.
  • Full-Stack AI Software: Building asynchronous web microservices (FastAPI), secure backend state management, and containerized deployment infrastructure (Docker).

🛠️ Tech Stack & Tooling

  • Languages: Python, Java, SQL, C, Kotlin, JavaScript
  • AI/ML Infrastructure: PyTorch, Unsloth, Hugging Face (PEFT/Transformers), LangChain, LangGraph, LangSmith
  • Backend & DevOps: FastAPI, Docker, Uvicorn, Firebase, SQLiteCloud, Node.js

📊 Recent Engineering Endeavors

  • 🧠 LoRA-Injection-Detector: Fine-tuning an 8B Llama model on adversarial partitions and compiling it down to a 4-bit CPU GGUF microservice container.
  • 🏥 Agentic AI in Healthcare (Research): Co-leading the evaluation framework for a coordinated multi-agent architecture in medical conversation contexts.

Pinned Loading

  1. prompt-injection-firewall-serviceprompt-injection-firewall-servicePublic

    Jupyter Notebook 1

  2. TeamOMG_WTHTeamOMG_WTHPublic

    Kotlin 1

  3. JustLikeChuu/bearly-awakeJustLikeChuu/bearly-awakePublic

    Python 1 1

  4. Gym-MaestroGym-MaestroPublic

    HTML 1

  5. JustLikeChuu/WashWatchJustLikeChuu/WashWatchPublic

    Dart

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try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
nikowee (Nicholas Wee) · GitHub
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Achievements
Achievement: Pull SharkAchievement: YOLO
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nikowee/README.md
Hi, I'm Nicholas 👋
I am an aspiring Applied Machine Learning / AI Engineer and a Computer Science & Design undergraduate at SUTD. I focus on bridging the gap between theoretical machine learning models and production-ready software systems. Projects I have explored include custom model fine-tuning, parameter optimisation, and agentic workflows.
Always looking out for opportunities!
🚀 Key Technical Focus Areas
  • Machine Learning & MLOps: Fine-tuning open-weights architectures (LoRA/QLoRA), model quantization engineering (GGUF via llama.cpp), and context-window optimization.
  • Agentic Workflows: Designing state-persistent multi-agent architectures, structured evaluation loops, and deterministic human-in-the-loop guardrails.
  • Full-Stack AI Software: Building asynchronous web microservices (FastAPI), secure backend state management, and containerized deployment infrastructure (Docker).
🛠️ Tech Stack & Tooling
  • Languages: Python, Java, SQL, C, Kotlin, JavaScript
  • AI/ML Infrastructure: PyTorch, Unsloth, Hugging Face (PEFT/Transformers), LangChain, LangGraph, LangSmith
  • Backend & DevOps: FastAPI, Docker, Uvicorn, Firebase, SQLiteCloud, Node.js
📊 Recent Engineering Endeavors
  • 🧠 LoRA-Injection-Detector: Fine-tuning an 8B Llama model on adversarial partitions and compiling it down to a 4-bit CPU GGUF microservice container.
  • 🏥 Agentic AI in Healthcare (Research): Co-leading the evaluation framework for a coordinated multi-agent architecture in medical conversation contexts.

Pinned
Loading
  1. prompt-injection-firewall-serviceprompt-injection-firewall-servicePublic
    Jupyter Notebook
1

  2. TeamOMG_WTHTeamOMG_WTHPublic
    Kotlin
1

  3. JustLikeChuu/bearly-awakeJustLikeChuu/bearly-awakePublic
    Python
1

1

  4. Gym-MaestroGym-MaestroPublic
    HTML
1

  5. JustLikeChuu/WashWatchJustLikeChuu/WashWatchPublic
    Dart

, 'i');
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nikowee (Nicholas Wee) · GitHub
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Achievements
Achievement: Pull SharkAchievement: YOLO
Achievements
Achievement: Pull SharkAchievement: YOLO
Highlights
  • 
Pro


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nikowee/README.md
Hi, I'm Nicholas 👋
I am an aspiring Applied Machine Learning / AI Engineer and a Computer Science & Design undergraduate at SUTD. I focus on bridging the gap between theoretical machine learning models and production-ready software systems. Projects I have explored include custom model fine-tuning, parameter optimisation, and agentic workflows.
Always looking out for opportunities!
🚀 Key Technical Focus Areas
  • Machine Learning & MLOps: Fine-tuning open-weights architectures (LoRA/QLoRA), model quantization engineering (GGUF via llama.cpp), and context-window optimization.
  • Agentic Workflows: Designing state-persistent multi-agent architectures, structured evaluation loops, and deterministic human-in-the-loop guardrails.
  • Full-Stack AI Software: Building asynchronous web microservices (FastAPI), secure backend state management, and containerized deployment infrastructure (Docker).
🛠️ Tech Stack & Tooling
  • Languages: Python, Java, SQL, C, Kotlin, JavaScript
  • AI/ML Infrastructure: PyTorch, Unsloth, Hugging Face (PEFT/Transformers), LangChain, LangGraph, LangSmith
  • Backend & DevOps: FastAPI, Docker, Uvicorn, Firebase, SQLiteCloud, Node.js
📊 Recent Engineering Endeavors
  • 🧠 LoRA-Injection-Detector: Fine-tuning an 8B Llama model on adversarial partitions and compiling it down to a 4-bit CPU GGUF microservice container.
  • 🏥 Agentic AI in Healthcare (Research): Co-leading the evaluation framework for a coordinated multi-agent architecture in medical conversation contexts.

Pinned
Loading
  1. prompt-injection-firewall-serviceprompt-injection-firewall-servicePublic
    Jupyter Notebook
1

  2. TeamOMG_WTHTeamOMG_WTHPublic
    Kotlin
1

  3. JustLikeChuu/bearly-awakeJustLikeChuu/bearly-awakePublic
    Python
1

1

  4. Gym-MaestroGym-MaestroPublic
    HTML
1

  5. JustLikeChuu/WashWatchJustLikeChuu/WashWatchPublic
    Dart

, 'i');
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try {
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var __re = new RegExp('^' + ".*" + '
nikowee (Nicholas Wee) · GitHub
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6
followers
 · 4
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Achievements
Achievement: Pull SharkAchievement: YOLO
Achievements
Achievement: Pull SharkAchievement: YOLO
Highlights
  • 
Pro


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nikowee/README.md
Hi, I'm Nicholas 👋
I am an aspiring Applied Machine Learning / AI Engineer and a Computer Science & Design undergraduate at SUTD. I focus on bridging the gap between theoretical machine learning models and production-ready software systems. Projects I have explored include custom model fine-tuning, parameter optimisation, and agentic workflows.
Always looking out for opportunities!
🚀 Key Technical Focus Areas
  • Machine Learning & MLOps: Fine-tuning open-weights architectures (LoRA/QLoRA), model quantization engineering (GGUF via llama.cpp), and context-window optimization.
  • Agentic Workflows: Designing state-persistent multi-agent architectures, structured evaluation loops, and deterministic human-in-the-loop guardrails.
  • Full-Stack AI Software: Building asynchronous web microservices (FastAPI), secure backend state management, and containerized deployment infrastructure (Docker).
🛠️ Tech Stack & Tooling
  • Languages: Python, Java, SQL, C, Kotlin, JavaScript
  • AI/ML Infrastructure: PyTorch, Unsloth, Hugging Face (PEFT/Transformers), LangChain, LangGraph, LangSmith
  • Backend & DevOps: FastAPI, Docker, Uvicorn, Firebase, SQLiteCloud, Node.js
📊 Recent Engineering Endeavors
  • 🧠 LoRA-Injection-Detector: Fine-tuning an 8B Llama model on adversarial partitions and compiling it down to a 4-bit CPU GGUF microservice container.
  • 🏥 Agentic AI in Healthcare (Research): Co-leading the evaluation framework for a coordinated multi-agent architecture in medical conversation contexts.

Pinned
Loading
  1. prompt-injection-firewall-serviceprompt-injection-firewall-servicePublic
    Jupyter Notebook
1

  2. TeamOMG_WTHTeamOMG_WTHPublic
    Kotlin
1

  3. JustLikeChuu/bearly-awakeJustLikeChuu/bearly-awakePublic
    Python
1

1

  4. Gym-MaestroGym-MaestroPublic
    HTML
1

  5. JustLikeChuu/WashWatchJustLikeChuu/WashWatchPublic
    Dart

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
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})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
nikowee (Nicholas Wee) · GitHub
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6
followers
 · 4
following

Achievements
Achievement: Pull SharkAchievement: YOLO
Achievements
Achievement: Pull SharkAchievement: YOLO
Highlights
  • 
Pro


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nikowee/README.md
Hi, I'm Nicholas 👋
I am an aspiring Applied Machine Learning / AI Engineer and a Computer Science & Design undergraduate at SUTD. I focus on bridging the gap between theoretical machine learning models and production-ready software systems. Projects I have explored include custom model fine-tuning, parameter optimisation, and agentic workflows.
Always looking out for opportunities!
🚀 Key Technical Focus Areas
  • Machine Learning & MLOps: Fine-tuning open-weights architectures (LoRA/QLoRA), model quantization engineering (GGUF via llama.cpp), and context-window optimization.
  • Agentic Workflows: Designing state-persistent multi-agent architectures, structured evaluation loops, and deterministic human-in-the-loop guardrails.
  • Full-Stack AI Software: Building asynchronous web microservices (FastAPI), secure backend state management, and containerized deployment infrastructure (Docker).
🛠️ Tech Stack & Tooling
  • Languages: Python, Java, SQL, C, Kotlin, JavaScript
  • AI/ML Infrastructure: PyTorch, Unsloth, Hugging Face (PEFT/Transformers), LangChain, LangGraph, LangSmith
  • Backend & DevOps: FastAPI, Docker, Uvicorn, Firebase, SQLiteCloud, Node.js
📊 Recent Engineering Endeavors
  • 🧠 LoRA-Injection-Detector: Fine-tuning an 8B Llama model on adversarial partitions and compiling it down to a 4-bit CPU GGUF microservice container.
  • 🏥 Agentic AI in Healthcare (Research): Co-leading the evaluation framework for a coordinated multi-agent architecture in medical conversation contexts.

Pinned
Loading
  1. prompt-injection-firewall-serviceprompt-injection-firewall-servicePublic
    Jupyter Notebook
1

  2. TeamOMG_WTHTeamOMG_WTHPublic
    Kotlin
1

  3. JustLikeChuu/bearly-awakeJustLikeChuu/bearly-awakePublic
    Python
1

1

  4. Gym-MaestroGym-MaestroPublic
    HTML
1

  5. JustLikeChuu/WashWatchJustLikeChuu/WashWatchPublic
    Dart

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
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setInterval(function() {
if (location.href !== lastUrl) {
lastUrl = location.href;
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observer.observe(document.body, { childList: true, subtree: true });
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} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
nikowee (Nicholas Wee) · GitHub
Skip to content
View nikowee's full-sized avatar
6
followers
 · 4
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Achievements
Achievement: Pull SharkAchievement: YOLO
Achievements
Achievement: Pull SharkAchievement: YOLO
Highlights
  • 
Pro


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nikowee/README.md
Hi, I'm Nicholas 👋
I am an aspiring Applied Machine Learning / AI Engineer and a Computer Science & Design undergraduate at SUTD. I focus on bridging the gap between theoretical machine learning models and production-ready software systems. Projects I have explored include custom model fine-tuning, parameter optimisation, and agentic workflows.
Always looking out for opportunities!
🚀 Key Technical Focus Areas
  • Machine Learning & MLOps: Fine-tuning open-weights architectures (LoRA/QLoRA), model quantization engineering (GGUF via llama.cpp), and context-window optimization.
  • Agentic Workflows: Designing state-persistent multi-agent architectures, structured evaluation loops, and deterministic human-in-the-loop guardrails.
  • Full-Stack AI Software: Building asynchronous web microservices (FastAPI), secure backend state management, and containerized deployment infrastructure (Docker).
🛠️ Tech Stack & Tooling
  • Languages: Python, Java, SQL, C, Kotlin, JavaScript
  • AI/ML Infrastructure: PyTorch, Unsloth, Hugging Face (PEFT/Transformers), LangChain, LangGraph, LangSmith
  • Backend & DevOps: FastAPI, Docker, Uvicorn, Firebase, SQLiteCloud, Node.js
📊 Recent Engineering Endeavors
  • 🧠 LoRA-Injection-Detector: Fine-tuning an 8B Llama model on adversarial partitions and compiling it down to a 4-bit CPU GGUF microservice container.
  • 🏥 Agentic AI in Healthcare (Research): Co-leading the evaluation framework for a coordinated multi-agent architecture in medical conversation contexts.

Pinned
Loading
  1. prompt-injection-firewall-serviceprompt-injection-firewall-servicePublic
    Jupyter Notebook
1

  2. TeamOMG_WTHTeamOMG_WTHPublic
    Kotlin
1

  3. JustLikeChuu/bearly-awakeJustLikeChuu/bearly-awakePublic
    Python
1

1

  4. Gym-MaestroGym-MaestroPublic
    HTML
1

  5. JustLikeChuu/WashWatchJustLikeChuu/WashWatchPublic
    Dart

, 'i');
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
nikowee (Nicholas Wee) · GitHub
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View nikowee's full-sized avatar
6
followers
 · 4
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Achievements
Achievement: Pull SharkAchievement: YOLO
Achievements
Achievement: Pull SharkAchievement: YOLO
Highlights
  • 
Pro


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nikowee/README.md
Hi, I'm Nicholas 👋
I am an aspiring Applied Machine Learning / AI Engineer and a Computer Science & Design undergraduate at SUTD. I focus on bridging the gap between theoretical machine learning models and production-ready software systems. Projects I have explored include custom model fine-tuning, parameter optimisation, and agentic workflows.
Always looking out for opportunities!
🚀 Key Technical Focus Areas
  • Machine Learning & MLOps: Fine-tuning open-weights architectures (LoRA/QLoRA), model quantization engineering (GGUF via llama.cpp), and context-window optimization.
  • Agentic Workflows: Designing state-persistent multi-agent architectures, structured evaluation loops, and deterministic human-in-the-loop guardrails.
  • Full-Stack AI Software: Building asynchronous web microservices (FastAPI), secure backend state management, and containerized deployment infrastructure (Docker).
🛠️ Tech Stack & Tooling
  • Languages: Python, Java, SQL, C, Kotlin, JavaScript
  • AI/ML Infrastructure: PyTorch, Unsloth, Hugging Face (PEFT/Transformers), LangChain, LangGraph, LangSmith
  • Backend & DevOps: FastAPI, Docker, Uvicorn, Firebase, SQLiteCloud, Node.js
📊 Recent Engineering Endeavors
  • 🧠 LoRA-Injection-Detector: Fine-tuning an 8B Llama model on adversarial partitions and compiling it down to a 4-bit CPU GGUF microservice container.
  • 🏥 Agentic AI in Healthcare (Research): Co-leading the evaluation framework for a coordinated multi-agent architecture in medical conversation contexts.

Pinned
Loading
  1. prompt-injection-firewall-serviceprompt-injection-firewall-servicePublic
    Jupyter Notebook
1

  2. TeamOMG_WTHTeamOMG_WTHPublic
    Kotlin
1

  3. JustLikeChuu/bearly-awakeJustLikeChuu/bearly-awakePublic
    Python
1

1

  4. Gym-MaestroGym-MaestroPublic
    HTML
1

  5. JustLikeChuu/WashWatchJustLikeChuu/WashWatchPublic
    Dart

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
/* Invert everything except media */
html {
filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
/* Restore images, videos, iframes, canvas */
img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
/* Preserve specific elements that should not be inverted */
.no-dark-mode, .no-dark-mode *,
[data-theme="light"], [data-theme="light"],
.ace_editor, .ace_editor *,
.CodeMirror, .CodeMirror *,
.monaco-editor, .monaco-editor *,
.markdown-body pre, .markdown-body pre *,
.highlight, .highlight *,
pre code, pre code * {
filter: none !important;
}
/* Fix common UI elements */
.modal, .popup, .dropdown-menu, .tooltip, .popover {
filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
/* Selection */
::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
if (style) style.remove();
}
// Toggle with Alt+Shift+D
document.addEventListener('keydown', function(e) {
if (e.altKey && e.shiftKey && e.key === 'D') {
e.preventDefault();
enabled = !enabled;
if (enabled) {
applyDarkMode();
console.log('[Universal Dark Mode] Enabled');
} else {
removeDarkMode();
console.log('[Universal Dark Mode] Disabled');
}
}
});
// Apply on load
applyDarkMode();
// Re-apply on dynamic content
var observer = new MutationObserver(function(mutations) {
if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();
nikowee (Nicholas Wee) · GitHub
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nikowee/README.md
Hi, I'm Nicholas 👋
I am an aspiring Applied Machine Learning / AI Engineer and a Computer Science & Design undergraduate at SUTD. I focus on bridging the gap between theoretical machine learning models and production-ready software systems. Projects I have explored include custom model fine-tuning, parameter optimisation, and agentic workflows.
Always looking out for opportunities!
🚀 Key Technical Focus Areas
  • Machine Learning & MLOps: Fine-tuning open-weights architectures (LoRA/QLoRA), model quantization engineering (GGUF via llama.cpp), and context-window optimization.
  • Agentic Workflows: Designing state-persistent multi-agent architectures, structured evaluation loops, and deterministic human-in-the-loop guardrails.
  • Full-Stack AI Software: Building asynchronous web microservices (FastAPI), secure backend state management, and containerized deployment infrastructure (Docker).
🛠️ Tech Stack & Tooling
  • Languages: Python, Java, SQL, C, Kotlin, JavaScript
  • AI/ML Infrastructure: PyTorch, Unsloth, Hugging Face (PEFT/Transformers), LangChain, LangGraph, LangSmith
  • Backend & DevOps: FastAPI, Docker, Uvicorn, Firebase, SQLiteCloud, Node.js
📊 Recent Engineering Endeavors
  • 🧠 LoRA-Injection-Detector: Fine-tuning an 8B Llama model on adversarial partitions and compiling it down to a 4-bit CPU GGUF microservice container.
  • 🏥 Agentic AI in Healthcare (Research): Co-leading the evaluation framework for a coordinated multi-agent architecture in medical conversation contexts.

Pinned
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  1. prompt-injection-firewall-serviceprompt-injection-firewall-servicePublic
    Jupyter Notebook
1

  2. TeamOMG_WTHTeamOMG_WTHPublic
    Kotlin
1

  3. JustLikeChuu/bearly-awakeJustLikeChuu/bearly-awakePublic
    Python
1

1

  4. Gym-MaestroGym-MaestroPublic
    HTML
1

  5. JustLikeChuu/WashWatchJustLikeChuu/WashWatchPublic
    Dart