PhD Researcher in Robotics @ University of Michigan

Robotics • Systems • Machine Learning

I bridge the gap between theoretical robotics and production-grade systems. My work focuses on high-performance builds where hardware meets intelligent software. I don't just use tools; I dive into the source to understand how they work.

• 🤖 Current Focus: Scaling Agentic workflows for VLA cross-embodiment.
• 🛠 Philosophy: If you can't build it from scratch, you don't understand it.
• 🏗 Technical Depth: From C++ kernels to distributed ML training pipelines.

Languages & Systems

Python • C++ • Go • ROS2 • Docker

Model Training & Fine-Tuning

PyTorch • Hugging Face (Transformers/Accelerate) • PEFT (LoRA/QLoRA) • TensorRT • ONNX

Simulation & Physics Environments

Isaac Gym/Sim • Gazebo

Agentic Frameworks & Vector Infra

LangChain/LangGraph • AutoGPT • Pinecone • FastAPI • Redis • Supabase

Experiment Tracking & Evaluation

Weights & Biases (W&B) • Optuna • TensorBoard

Python • TypeScript • Next.js • PostgreSQL • FastAPI • Supabase