Open to opportunities

devasanjay natarajan

@devasanjaynatarajan

Message

I build production AI systems and full-stack products from computer vision to real-time web applications.

India

Message

What I'm looking for

I'm looking to build user-centric AI and full-stack products, especially computer vision, LLM, RAG, and real-time applications, while growing through product delivery, cross-functional collaboration, and challenging technical work.

At Stellantis India, I built real-time underbody engine oil leak detection and traction monitoring tooling using Python, OpenCV, and YOLO for plant-floor quality inspection. I also developed SpecSync and QATrace for engineering specification management, defect traceability, and QA analytics.

Previously, at DAVNS Industries, I led end-to-end delivery of 10+ AI-powered products across e-commerce, health-tech, and AI using MERN and Firebase. I've built REST APIs, React frontends, Node.js services, authentication, real-time data sync, and admin dashboards.

My projects include a 2,000+ user attendance platform, an encrypted React Native messaging app, and a 1,000+ user campus Lost & Found portal. I'm a hackathon winner and IBM Z Explore Datathon runner-up who enjoys AI/LLM research, product design, open-source development, and competitive coding.

Experience

Work history, roles, and key accomplishments

Artificial Intelligence Engineer Intern

Stellantis India Private Limited

Jan 2026 - Jun 2026 (5 months)

Built an automated Underbody Engine Oil Leak Detection & Traction Monitoring system using Python, OpenCV, and YOLO-based object detection; packaged as a standalone executable for real-time defect detection and plant-floor quality inspection. Designed the data pipeline and annotation workflow for collecting, labeling, and balancing image/video datasets used in model training and evaluation.

Python OpenCV YOLO Computer Vision Data Pipelines Annotations Quality inspection Cross Functional Collaboration