Check out my Portfolio Website

👾 I’m interested in ... Mobile Robotics, Autonomous Driving, Robot Learning, and Computer Vision
🛠 I’m currently pursuing a Master's in Robotics at the University of Maryland, College Park
🤝 I’m looking to collaborate on ... projects in AI, robotics, and embodied intelligence

🔬 Currently working at ...

• Temple Allen Industries — Machine Learning Engineer, Working on large scale synthetic data generation for model training using Isaac Sim and Google CLoud SDK (Nano Banana Pro 3), along with deep learning model fine tuning for airplane sanding process.

🌟 I have worked at ...

• GAMMA Lab (Dr. Dinesh Manocha) — Research Assistant, working on multi-modal perception (camera + LiDAR), behavior planning, and navigation for curbside autonomous robots using MPPI planners, SLAM, and ROS 2

• Symbotic LLC — Perception Engineer, developed and deployed Vision Transformer–based perception systems for warehouse AMRs, optimized ROS 2 pipelines on Jetson using TensorRT, and reduced inference latency by 70%

• Bio-Imaging and Machine Vision Lab (Dr. Yang Tao) — Research Assistant, built ROS + OpenCV vision pipelines for crab and mushroom detection, reducing manual intervention by 75%, and applied imitation learning for UR5e robotic arm manipulation

• University of Alberta (MITACS Globalink) — Reinforcement Learning Research Intern, implemented multi-agent reinforcement learning for high-density autonomous vehicle merging, achieving 30% faster responses and 40% fewer collisions in simulation

📬 How to reach me ... kunjgolwala13@gmail.com | kgolwala@umd.edu

🎥 See my latest work in robotics here ->
TMI: OpenVLA Fine-Tuning | Frenet Trajectory Planner | VisionNav |

• TMI (Too Much Info): OpenVLA Fine-Tuning
  🔹 Fine-tuned OpenVLA using behavior cloning on LIBERO (MuJoCo) with vision + language-conditioned actions
  🔹 Improved manipulation success by 35% using LoRA fine-tuning and LLM-based instruction filtering

• Frenet Optimal Trajectory Planner
  🔹 Implemented a Frenet-frame planner for lane keeping, lane changes, and vehicle following in CARLA
  🔹 Generated smooth trajectories using quintic polynomials with feasibility checks on curvature and jerk

• VisionNav: Autonomous Navigation System
  🔹 Built a ROS 2 vision-based navigation stack with ArUco markers and EKF sensor fusion
  🔹 Integrated LiDAR (LIO-SAM), VIO, and optical-flow obstacle detection for real-time autonomy

• AI-Powered Human-Following Robot
  🔹 Developed a ROS 2 human-following pipeline using camera-based tracking and SLAM
  🔹 Integrated ORB-SLAM, ICP scan matching, and potential-field obstacle avoidance

• To contribute to impactful projects in autonomous systems and robot learning
• To bridge classical robotics and foundation models for real-world deployment

Thanks for stopping by! Feel free to reach out or collaborate! 😊