Robotics Software Engineer working on humanoids at Jio Reality Labs 
My interests lie at the intersection of Robot Learning, Perception, and Deep Learning.
Before that, I was a Research Engineer at Infosys CAI × IIIT Delhi on the ALIVE autonomous vehicle project, under Prof. Saket Anand and Prof. Sanjit Kaul. My work touched the full stack: ADAS development, HD-Map generation, end-to-end traffic light following, and a closed-loop Virtual Testbed for Autonomous Vehicle evaluation. Following that, I was a Senior Computer Vision Engineer at OpenCV University, with a focus on 3D vision, neural rendering, and robotics perception pipelines.
2022 B.Tech Electrical Engineering graduate from IEM, Kolkata. Research experience includes landscape segmentation on satellite data at IIT KGP (Dr. Debashish Chakravarty) and prior learning for GANs at UNSW (Dr. Tanmoy Dam). Kaggle Competition Expert 1x 🥈 1x 🥉 Medals specializing in Object Detection and Segmentation.
Computer Vision, Robotics - Perception & SLAM, 3D Vision & Graphics, Deep Learning.
Skills
Publications
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Proposed an innovative unsupervised segmentation approach for Synthetic Aperture Radar (SAR) imagery, leveraging polarimetric features to improve urban area classification accuracy without the need for large annotated datasets.
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Developed a custom CNN architecture optimized for analyzing chest X-rays to aid in the early detection and prognosis of COVID-19, addressing critical needs during the pandemic.
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Conducted a comprehensive analysis of various depth-sensing and lane-detection methodologies, evaluating their robustness and real-time performance within Advanced Driver Assistance Systems (ADAS).