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.
- 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.
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.
⚡ 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).
- 🧠 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.
- 📧 Email: tvkhanh1692@gmail.com
“Bridging hardware efficiency with intelligent software architecture.” ✨