I am student of Hanoi University of Science and Technology, Vietnam. I came across your GitHub repo AI_Fashion_Cloth_Changer and found it incredibly helpful for my graduation project.
Specializing in machine learning, mobile app development and full-stack engineering. I build intelligent apps that simplify, enhance, and transform everyday interactions. From AI-powered image editing to smarter student tools, my work bridges technology and real-world impact.
Years of
Building & Learning
Bachelor of Computer Science in Artificial Intelligence.
Pre-University Education.
Secondary Education.
Developed and maintained UMscout, a student companion app for Universiti Malaya, rated 4.7/5 on the App Store. It provides automated announcements, timetable syncing and event management, helping students stay organized effortlessly.
Shared insights on transforming ideas into app solutions, covering development, AI integration, and user-focused design at Innovation Wednesday, Universiti Malaya.
Developed an advanced AI-driven image editing app with AI art generation, image enhancement and creative tools. Built with Stable Diffusion, machine learning models, and cloud-based processing with serverless CUDA, Ymage transforms the way users edit and generate images.
Help develop modern and minimalist decor WordPress websites with a focus on clean UX/UI design using Elementor Web Builder. Applied structured data and SEO Optimization to improve search engine rankings and increased organic traffic.
Developed 24 Festival Drums, a mobile app with realistic haptic drumming, an AR 3D Chinese drum model, and a drum recording feature. Achieved 49K+ downloads. Built with Android Studio and ARCore.
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UMscout simplifies student life with course syncing, multi-language support, smart timetables, and instant notifications. Built with Flutter, Supabase, and AWS, it ensures a seamless and efficient experience across devices.
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Developed Ymage, an AI-powered image editing app with 20+ AI features, including AI art generation, image enhancement, and real-time filters. Built for efficiency and creativity, it leverages Stable Diffusion, LLMs and cloud-based AI processing.
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Developed PTUM.my, the official website for Pesta Tanglung Universiti Malaya, offering event details, registrations, and updates. Designed with a clean and user-friendly interface to improve accessibility and engagement.
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Developed a real-time CNN-based hand sign recognition system with 92.5% accuracy, supporting ASL for accessibility and inclusivity. Built using TensorFlow, OpenCV, Mediapipe and Python.
Built a credit score prediction model using Random Forest Regressor, achieving high accuracy with an R² score of 0.87. Enhances financial decision-making with refined credit assessment.
Developed a remote autogate control system using an ESP8266 module and a self-hosted Blynk Server for seamless operation. Built with Docker, Arduino, and C++.
Passionate about videography, photography and video editing, I bring stories to life through visuals. From event coverage to cinematic edits, I focus on capturing moments, enhancing visuals and creating engaging content.
🏆 CHAMPION