I am a researcher and engineer with a background in computer science, specialized in computer vision, natural language processing, deep learning, conventional machine learning, and cloud computing. I addressed critical challenges in video based tracking by model driven heuristic algorithm for crowded scenes. I am enthusiastic about solving real-life problem and have experience of developing scalable end-to-end ML solutions by following MLOps best practices and using cloud infrastructure. My previous successful ML projects include a people tracking solution using LiDAR/camera sensors, developing multimodal predictive models, analyzing crowd and health data, video processing in edge devices etc.

More about myself

I am enthusiastic about learning new technologies and passionate about advancing my career. I enjoy exploring fields beyond my primary research area, with a particular interest in niche areas of physics like quantum sensing. In my free time, I love watching documentaries, debates, movies, cricket match. I also enjoy traveling to new places, meeting new people and teaching.