I'm a robotics & controls engineer interested in:
- World models, reinforcement learning, & physical AI
- Control theory
- Optimization
I currently work on self-driving vehicles at Kodiak AI. Here's an example: look at these huge driverless trucks running my code, hauling 100s of tons, operating autonomously 24/7 for customers!
- AMSwarm 2.0: An ultra-fast drone swarm trajectory planning algorithm written in C++ with Python bindings
- 🥉 3rd place in Mistral x Hugging Face Robotics Hackathon 2025 with a bimanual robotic system that interprets natural language instruction and packs your bag for you:
They say the best way to learn software is by contributing to open-source projects. Here are some contributions I'm proud of:
- State-of-the-art RL algorithm implementations (Link)
- A more advanced and flexible optimization API for the RL trainer ecosystem (Link)
- Auto-configuration of exploration module specs from RL environments (Link)
- Various small improvements, such as:
- MPS compatibility fixes e.g. 1, 2
- config classes, e.g. TanhModule and TensorDictSequential
- BASc Mechanical Engineering @ University of Toronto
- MSc Robotics, Systems & Control @ ETH Zurich