
Software Engineer — Computer Vision & Robotics
Building perception and autonomy systems.
Computer Vision
SLAM
Sensor Fusion
State Estimation
Deep Learning
About
I design and ship reliable perception & autonomy systems — from camera‑first sensing and multi‑sensor fusion to tightly‑coupled visual‑inertial state estimation and semantic mapping. I care about clarity, reproducibility, and measurable impact in real applications.
Education
- MS, Robotics Engineering, Worcester Polytechnic Institute, 2021
- B.Tech, Electronics & Communication, VNIT Nagpur, 2018
Publications
- A Real-time Augmented Reality Surgical System for Overlaying Stiffness Information
- Dynamic Texture Mapping of 3D models for Stiffness Map Visualization
- Semantic SLAM with Autonomous Object-Level Data Association
- Surgical system for automatic registration, stiffness mapping and dynamic image overlay
- Visual system for a Modular 6‑Legged robot
Experience
Jun 2022 – Present
Localization & Mapping Engineer — Woven by Toyota (Palo Alto, CA)
- Led cross‑functional integration across perception, mapping, and ML teams; delivered PoCs to fleet‑deployed systems.
- Ownership of perception‑to‑map interfaces and on‑vehicle validation; improved robustness and latency.
Aug 2021 – Mar 2022
Computer Vision Engineer — Honda Research Institute USA (San Jose, CA)
- Shipped CV modules from research to prototype; contributed to perception stack performance and reliability.
Feb 2021 – May 2021
Robotics Research Intern — Honda Research Institute USA (San Jose, CA)
Aug 2020 – Jan 2021
JVSRP Research Intern — NASA JPL, Team CoSTAR (Pasadena, CA)
- Contributed to artifact detection/semantic mapping components used in the final stage of DARPA SubT (2021).
Sep 2019 – Aug 2020
Research Assistant — WPI (Worcester, MA)
- Developed end‑to‑end semantic SLAM integrating deep learning‑based detection and loop closure on objects.
May 2017 – Aug 2017
Summer Research Intern — CMU (Pittsburgh, PA)
Full CVs: ML‑focused · General
Projects