About Me
Mechatronics researcher, AI/Robotics engineer, and community builder — I work where embedded hardware, computer vision and machine learning intersect, and I write about it for the people who'll build the next system.
From an embedded lab bench
to research at IIT Bhilai.
I started out fascinated by the boundary where signals from sensors become decisions — a motor spins, a camera triggers, a robot reacts. That fascination became a career across embedded systems, computer vision and cloud platforms, and is now the foundation of my postgraduate research.
Over 4 years as a Senior Software Engineer at Infinity Tech Resources, I shipped production systems spanning machine learning pipelines, robotics integrations and cloud infrastructure. In parallel, I contributed to AI R&D for leukemia detection with the Peter Moss Leukemia AI Research Association, and worked on computer-vision and IoT projects with The Sparks Foundation.
Today, as an M.Tech Mechatronics researcher at IIT Bhilai, my work focuses on real-time industrial anomaly detection with edge-deployed YOLO models, and multi-modal LLM/RAG systems that turn raw sensor and vision data into human-readable plant intelligence. My 2022 SSRN publication on adaptive Kalman-filter object tracking with YOLOv5 sits at the centre of that interest — accurate perception that runs in real time, on real hardware.
Outside of research, I volunteer extensively with IEEE — currently Chair of the CEDA Maharashtra Section's Nagpur Chapter — and am an Intel Software Innovator and Arm Developer Ambassador. I maintain 500+ open-source repositories and enjoy turning what I learn into talks, workshops and mentorship for student developer communities.