Biography
I am a Graduate Student with Masters in Robotics and Mechatronics from New York University currently working as a Robotics Engineer at BotCrew LLC. My primary research interest lies in the intersection of Optimal Control and Perception. Recently I am exploring reinforcement learning for contact rich manipulation.
Previously I worked as a research associate at Professor Giuseppe Loianno’s Agile Robotics and Perception Laboratory. During my undergraduate studies I worked in Prof Shital Chiddarwar IvLabs building quadrotors and working on control architectures to fly them in wind. Before that I spent 2022 working at Center of Artificial Intelligence and Robotics, DRDO under Dr. Murali Krishna P (Scientist F) working on Autonomous Driving in crowded urban intersections.
Beyond research I enjoy reading, playing cricket, video games, cooking and sketching.
Experience
Robotics Engineer (Autonomy & Perception) — BotCrew LLC
May 2025 – Jul 2026 | Austin, Texas
- Developed NMPC Controller for Reeds-Shepp trajectories with gradient-based smoothing, deployed on a Nvidia Jetson Orin.
- Built bracket detection using YOLO26 + TensorRT, generating waypoints for autonomous robot alignment during solar module placement.
- Led development of a FastDDS - based middleware pipeline for real-time data exchange across distributed robot modules.
Robotics Engineering Intern (State Estimation & Mapping) — BotCrew LLC
Feb 2025 – May 2025 | Duluth, Minnesota
- Designed a ROS-agnostic mapping engine, scaling to 5,000+ acre maps enabling deployment on the company’s largest test field sites, showcased in live investor demo.
- Fused ORB-SLAM3 and OpenVINS odometry via an Extended Kalman Filter, improving navigation robustness in dynamic environments.
Graduate Research Assistant (Collision Avoidance) — Agile Robotics and Perception Laboratory
Sep 2023 – Jan 2025 | New York University
- Co-authored research on NMPC-based obstacle avoidance using adaptive control barrier functions derived from real-time risk estimates at ICRA 2025.
- Built a monocular depth-completion pipeline using DepthAnythingV2, calibrating relative depth against sparse RGB-D data to generate dense time-to-collision maps.
- Optimized quadrotor platform design via firmware improvements, achieved 26% increase in flight time.
- Built a multi-source odometry pipeline (OpenVINS + PX4 IMU/barometer) for robust navigation in GPS-denied environments.
Undergraduate Research Intern (Autonomy) — Center for Artificial Intelligence and Robotics, DRDO
May 2022 – Dec 2022 | Bangalore, India
- Built a navigation pipeline for urban environments in CARLA, validated across various weather conditions and multiple maps.
- Implemented PID control and A* path planning for precise vehicle navigation.
- Deployed YOLOv5 pedestrian detection, achieving collision-free navigation across crowded intersections.
News
- [Jan 2026] Our Company has shifted to Austin, Texas.
- [May 2025] Joined BotCrew LLC as a Robotics Engineer.
- [Feb 2025] Joined BotCrew LLC as a Robotics Engineering Intern.
- [Dec 2024] Our paper “Reactive Collision Avoidance for Safe Agile Navigation” accepted at International Conference of Robotics and Automation (ICRA) 2025.
- [Sep 2023] Joined Agile Robotics and Perception Laboratory (ARPL) under Prof. Giuseppe Loianno as a Graduate Research Assistant.
- [Sep 2023] Joined New York University as a Mechatronics and Robotics Graduate Student.
- [Apr 2023] Our Paper “From Concept to Reality: An In-Depth Review of Autonomous Driving Strategies and Their Implementation” got accepted in International Conference on Mechanical Design and Manufacturing (ICMDM) 2023
