Robotics Software Engineer · Simulation · Perception · Reinforcement Learning
MS in Robotics Engineering (WPI). I build scalable simulation infrastructure, perception pipelines, and reinforcement learning workflows for robotics — from synthetic data generation and closed-loop testing to real-time perception on embedded hardware.
Robotics simulation and software engineering — scalable simulation stacks, RL validation frameworks, synthetic data pipelines, 3D perception, and motion planning. I care about high-throughput simulation, reusable components, and software that ships reliably to hardware.
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- Multi-layer Motion Planning with Kinodynamic and Spatio-Temporal Constraints — ACM HSCC 2025
- Autonomous Exploration using Ground Robots with Safety Guarantees — IEEE/RSJ IROS 2023
- Scalable Controller for Multi-Agent Systems Using Barrier Functions and Symbolic Control — IEEE CDC 2023
- Funnel-based Reachability Control of Unknown Nonlinear System using Gaussian Process — IEEE ICC 2022