Vedu User

I’m a Python developer focused on backend development and computer vision, turning ideas into working software through hands-on experimentation, continuous learning, and rapid iteration. I regularly use AI-assisted development tools to improve productivity, explore new technologies, and validate solutions through testing and practical implementation.

In my internship at Nilee Games & Future Technologies, I developed computer vision pipelines using OpenCV, MediaPipe, and YOLO for interactive motion-controlled gaming systems. I trained and evaluated custom object detection models for real-time tracking of balls, gestures, and player movements, and built communication pipelines between Python vision systems and Unity to synchronize player actions with game events.

I also build end-to-end products through personal projects like MonRix, a Django trade risk monitoring platform with portfolio management, exposure tracking, unrealized P&L analytics, and configurable risk controls via REST APIs and role-based access controls. I created FindThis for AI product discovery using Groq Vision Models and Google Lens API, and a Skin Disease Detection System using Flask with TensorFlow/Keras and confidence reporting—alongside strong results in Python and ML competitions (winner/runner-up) and a National Participant recognition.