I'm Rishiraj Behera, an M.Tech grad in Computer Science building perception systems that cut inspection time and catch defects humans miss. Worked as an Analyst Trainee at Deloitte, now working at the intersection of deep learning, manufacturing, and real-time video at Tata Motors.
I build systems that let cameras replace slow, subjective quality checks on factory floors — detection, segmentation, tracking, and the glue code to push decisions into production pipelines in real time.
I'm currently a Graduate Apprentice Trainee at Tata Motors Digital.AI Labs, working on computer vision for quality inspection. The job is straightforward to describe and hard to do well: teach a model to spot defects faster and more consistently than a trained human eye, then earn engineers' trust enough to act on it.
Before this, I worked full-time as an Analyst Trainee at Deloitte USI (Node.js, microservices, REST APIs) — which turns out to be an underrated advantage: real ML systems are 10% model and 90% plumbing.
// Recently completed M.Tech in Software Engineering from NIT Rourkela (CGPA 8.17), with a thesis in deep learning for biometric identification.
Multi-threaded HTTP server in C — thread pools, epoll-based I/O, graceful shutdown. Underpins why I'm comfortable debugging latency in ML serving stacks today: the bottleneck is almost never the model.
End-to-end MERN app for managing hostel occupancy, complaints, and fee cycles. Role-based auth, admin dashboard, responsive UI. Built to actually ship, not just demo — used for real record-keeping.
A Quora-style Q&A platform with feeds, voting, comments, and topic-based discovery. JWT auth, rich-text posts, and the kind of ugly-but-honest state management you only learn by building your own social feed from scratch.
Open to CV / ML engineering roles, research collaborations, and interesting problems where a camera can make a decision. Drop a line — I reply fast.