Summary
Parthsarthi Rawat is a Computer Vision Engineer with 8 years of experience building and deploying deep learning pipelines for sports analytics, robotics, healthcare, and insurance. He has shipped production-ready systems at scale—leading AWS MLOps deployments, integrating LLMs and RAG for video querying, and boosting player-tracking accuracy through belief propagation and OWLViT models. His research background in GANs, GNNs, and sensor-fusion complements hands-on wins like a 93%+ accuracy fusion method for thermal/RGB DFU detection and a 96.8% jersey-color/PlayerID classifier. Comfortable across the stack, he moves projects from novel preprocessing and model design to cloud deployment and monitoring. Based in Quincy, MA, he combines academic rigor with product-focused engineering and a habit of adapting cutting-edge research into fielded solutions. A detail not obvious from titles: he routinely bridges vision and NLP—using Whisper, GPT, and RAG—to turn video into queryable, semantics-rich datasets.
8 years of coding experience
2 years of employment as a software developer
High School, High School at Brightlands School
Master of Science - MS Mechatronics Robotics and Automation Engineering, Master of Science - MS Mechatronics Robotics and Automation Engineering at Worcester Polytechnic Institute
Bachelor of Technology - BTech Mechanical Engineering, Bachelor of Technology - BTech Mechanical Engineering at Shiv Nadar University
English, Hindi, French