M.S. in Computer Engineering at Virginia Tech
- 🔭 Building robust and efficient machine-learning systems for research and real-world deployment
- 🤖 Exploring agents that can perceive, reason, adapt, and improve over time
- 🧠 Interested in embodied intelligence, reinforcement learning, multimodal reasoning, and world models
- ⚙️ Working with distributed training, efficient inference, reproducible experimentation, and open-source engineering
- 🤝 Open to research collaborations and technically ambitious open-source projects
Robot manipulation, bimanual coordination, long-horizon planning, adaptive control, and learning from interaction.
Diffusion policies, adaptive computation, dynamic halting, policy evaluation, and reliable decision-making.
Self-evolving agents, skill memory, reasoning, tool use, multi-agent learning, and continual adaptation.
