Building AI systems that work in the real world. From research prototypes to deployment‑ready Edge AI — spanning computer vision, robotics perception, and embedded ML systems.
Applied AI engineer working at the intersection of machine learning, computer vision, robotics, and real‑world deployment.
I’m an Edge AI & Machine Learning Engineer based in Chennai with 7+ years of experience designing and deploying production‑grade AI systems across industrial automation, robotics, and embedded platforms.
My work spans the full ML lifecycle — from data collection and model development to optimisation and deployment on constrained Edge hardware. I focus on building AI systems that are robust to real‑world noise, latency constraints, and operational edge cases.
I have led and contributed to computer‑vision‑based defect detection, robotics perception using sensor fusion, medical ML systems, and industrial visual‑intelligence platforms — translating research concepts into reliable, deployable systems.
Alongside physical AI systems, I actively design NLP, LLM, and Retrieval‑Augmented Generation (RAG) applications, exploring how language models integrate with robotics, industrial data, and operational workflows.
The stack I use to turn hardware ideas into shipping products.
Production‑grade Machine Learning, Computer Vision, Robotics AI, and LLM systems — designed, deployed, and operated under real‑world constraints.
Production-ready code and hardware — built from years of real product development.
7+ years of hardware product leadership across robotics, industrial automation, and embedded systems.
Open to building and deploying production‑grade Edge AI, Machine Learning, and Robotics AI systems — from early experimentation to real‑world deployment.