Stanford M.S. Electrical Engineering · AI/ML · Reinforcement Learning · Robotics
Engineer working across reinforcement learning, multimodal learning, computer vision, and robotics, with 14+ years of industry experience building software, hardware, automation, and complex product systems at Apple and Skyworks.
Portfolio · Projects · LinkedIn
Stanford CS224R · Deep Reinforcement Learning · Honorable Mention
Developed a frontier curriculum for RLOO fine-tuning of Qwen2.5-0.5B, improving pass@1 from 0.41 → 0.49 over vanilla RLOO.
Stanford CS339R / ME326 · Collaborative Robotics
Built the ROS2 navigation and sim-to-real motion layer for a TidyBot2 mobile manipulation system using MuJoCo and real robot hardware.
Stanford CS234 · Reinforcement Learning
Evaluated Behavior Cloning, IQL, and CQL under visual distribution shift across 500 unseen CoinRun levels, studying how augmentation affects offline-RL generalization.
Stanford CS231N · Computer Vision
Fine-tuned SigLIP SO400M-384 for fine-grained recognition across 555 NABirds species, reaching 83.78% Top-1. The team's SigLIP + ConvNeXt late-fusion system reached 92.48% Top-1.
Python · PyTorch · C/C++ · ROS2 · MuJoCo · Linux · Git
Reinforcement Learning · Robot Learning · LLM Fine-Tuning · Multimodal Learning · Computer Vision