Building modern, serverless web infrastructure and automated deployment pipelines.

I am a Software Engineer based in Malaysia, passionate about modernizing legacy systems. I specialize in bridging the gap between frontend development (React) and cloud infrastructure (Firebase, Cloudflare), focusing on performance optimization, cost reduction, and automated CI/CD workflows using GitHub Actions.

Master's Thesis: Open World Object Detection

• Focus: Developing a continual learning pipeline for real-time object detection that adapts to novel classes without catastrophic forgetting.
• Tech Stack: Python, PyTorch, YOLOv8, Semantic Databases.
• Key Achievement: Integrated a semantic database to allow the model to recognize "unknown" objects based on contextual clues, improving detection rates in dynamic environments.
• Status: 🔒 Private Research Repository (Available for demo upon request)

• Cloud Resiliency: Studying Chaos Engineering and high-availability architecture on Azure/AWS.
• System Design: Designing scalable serverless patterns for cost-optimization.
• AI Integration: Exploring edge-deployment of YOLO models for mobile applications.

• LinkedIn: linkedin.com/in/mingjuntham
• Email: Denistmj@gmail.com