') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ', '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']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ', '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"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ', 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); })(); vkhanht1 (Van Khanh Tran) · GitHub
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vkhanht1/README.md

Hi, I'm Khanh 👋

Final-year Computer Engineering Student | Full-Stack Developer | Aspiring Systems & AI Engineer

🚀 I am a passionate developer dedicated to building scalable applications and high-performance systems. With a solid foundation in full-stack web development (MERN Stack, Spring Boot), I am currently bridging the gap between high-level web services and low-level efficiency by mastering C++ and Python/PyTorch for automation, system-level programming, and Computer Vision.

🔭 Currently Focused On

  • System-Level Programming & Performance: Deepening C++ fundamentals, efficient data structures, and backend optimization.
  • Deep Learning & Computer Vision: Mastering PyTorch and Torchvision to build, train, and deploy advanced image recognition models.
  • Software Quality: Implementing automated testing patterns, REST API optimizations, and CI/CD pipelines.

⚙️ DevOps & MLOps Automation

Aside from core development, I actively implement modern DevOps practices to ensure reliable software delivery and system portability:

  • Containerization: Packaging multi-service applications (Frontend, Backend, Data Layers) using Docker & Docker Compose to eliminate "it works on my machine" issues.
  • CI/CD Pipelines: Designing automated workflows with GitHub Actions to test, build, and publish production-ready Docker Images directly to GitHub Packages (GHCR).
  • Infrastructure Cleanliness: Maintaining lightweight and optimized development environments by mastering system pruning and efficient dependency management.

🛠️ Tech Stack

🚀 Languages

C++PythonJavaKotlinJavaScriptBash Shell

🌐 Frameworks & AI libraries

PyTorchTensorFlowNVIDIA NeMoONNX RuntimeSpring BootNodeJSReact

🗄️ Databases

MongoDBMySQLRedis

⚙️ Tools & DevOps

NVIDIA CUDADockerLinuxGitGitHub Actions

💻 Featured Projects

⚡ Miska Pho - Restaurant Table Reservation System

  • A full-featured web application built with the MERN Stack + Vite.
  • DevOps Integrated: Architected a multi-service containerized environment using Docker Compose linking separate frontend, backend, and automated python data layers.
  • CI/CD Pipeline: Configured GitHub Actions to automatically build and push verified Docker images to GitHub Packages (GHCR) upon code changes.

🎙️ NVIDIA NeMo ASR: FastConformer & ONNX Deployment

  • An end-to-end Automatic Speech Recognition pipeline using the NVIDIA NeMo framework, optimized via ONNX Runtime for high-performance GPU/CPU inference.
  • Focused on resolving deep-link configurations (OmegaConf) and managing environment synchronization.

💈 Warsaw Beauty Salon Explorer

  • A comprehensive multi-service system designed to collect, explore, and manage hair and beauty salon datasets across Warsaw.
  • Robust Architecture: Engineered a high-performance backend using Kotlin and Spring Boot (JPA) running directly on top of an automated data collection layer built with Python & SQLite.
  • DevOps & Portability: Fully containerized via Docker using persistent Docker Volumes for shared data synchronization. Integrated an automated GitHub Actions CI/CD pipeline to build and deliver micro-service container images to GitHub Packages.

📚 ML & Deep Learning Core Study Notes

  • A comprehensive repository showcasing practical implementations of fundamental AI concepts using PyTorch and TensorFlow/Keras.
  • Hardware Acceleration: Demonstrated proficiency in leveraging NVIDIA CUDA for accelerated model training, custom tensor operations, and shape manipulations.
  • Computer Vision Foundations: Implemented Artificial Neural Networks (ANN) for image classification task architectures (Fashion MNIST) along with multidimensional array data processing (NumPy).

🌌 Beyond Coding

  • 🧠 Continuous Learning: Actively refining Machine Learning and Deep Learning skills through hands-on projects and professional specializations (Coursera).
  • 🎨 UI/UX Design: Believing that "Great web applications come from a blend of clean architecture, thoughtful design, and a touch of creativity."
  • 🌐 Tech Communities: Enthusiastic about AI evolution, system optimization, and open-source collaboration.

📫 Let's Connect!

“Bridging hardware efficiency with intelligent software architecture.” ✨

Pinned Loading

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    An interactive, LLM-powered text adventure game engine built with Python and Groq (Llama 3.3).

    Python 1

  2. Beauty-salon-explorerBeauty-salon-explorerPublic template

    A Full-Stack Warsaw beauty salon explorer platform built with Kotlin (Spring Boot), React (TypeScript), and Python.

    TypeScript 1

  3. Full-Stack-Restaurant-Management-SystemFull-Stack-Restaurant-Management-SystemPublic template

    A professional Full-stack Restaurant Management System built with the MERN stack (MongoDB, Express, React, Node.js) featuring an admin dashboard and online ordering.

    JavaScript 1

  4. NVIDIA-NeMo-ASR-FastConformer-ONNXNVIDIA-NeMo-ASR-FastConformer-ONNXPublic

    This project showcases a complete end-to-end pipeline for building an Automatic Speech Recognition (ASR) system using the NVIDIA NeMo framework. It focuses on training and fine-tuning a FastConform…

    Jupyter Notebook 1

  5. computer-vision-learningcomputer-vision-learningPublic

    Welcome to my Computer Vision learning repository! This project serves as a collection of my hands-on practice, coding exercises, and projects as I explore Computer Vision and Image Processing.

    Jupyter Notebook 1

  6. Product_managementProduct_managementPublic

    Simple Product Management System written in C++ using dynamic arrays and multi-file structure.

    C++ 1