Junior Machine Learning Engineer

I am a Computer Science and Engineering undergraduate at Amrita Vishwa Vidyapeetham with a strong interest in artificial intelligence, deep learning, and backend software development.

I build machine learning systems using PyTorch, Hugging Face Transformers, YOLOv8, CLIP, MediaPipe, OpenCV, and large language models. My work includes multimodal retrieval, Indian Sign Language translation, computer vision, and natural-language interfaces.

I am developing ENGRAM, a privacy-preserving episodic-memory retrieval system for egocentric video. The project combines object detection, pose analysis, optical flow, CLIP embeddings, vector storage, and lightweight classifier fusion in a CPU-oriented architecture.

I also build practical software products, including a Go and PostgreSQL workout-tracking REST API, a React-based gamified habit tracker, and a content discovery engine using Trie and HashMap data structures. These projects have strengthened my foundations in system design, databases, algorithms, and full-stack development.

I enjoy collaborative leadership and event coordination. As a co-lead for Anokha 2024, I helped organize a campus-wide scavenger hunt and deployed a QR-code-based system for real-time participant tracking.

I am continuously expanding my skills through coursework in neural networks, algorithms, and computer networks, alongside certifications in frontend development and cybersecurity.