Master’s student in Robotic Systems Development at Carnegie Mellon University, focusing on deep learning, 3D vision, and reinforcement learning for robotics.
Previously:
- Nissan (ATC-SV) – Trained diffusion and RL policies for the Unitree G1 humanoid.
- Addverb – Built VSLAM systems, multi-robot GUIs, and physics-based simulators.
- Google Nest – Automated large-scale cloud infrastructure pipelines.
Teaching Assistant for 11-785 Introduction to Deep Learning at CMU.
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Autonomous Humanoid Loco-Manipulation – Hybrid control, motion planning, and perception for humanoid robots.
Project Summary -
Self-Correction in Language Models via RL – Benchmarked and improved model accuracy by 6%.
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Lip-Sync Deepfake Detection – Re-implemented LIPINC-V2 using Vision Temporal Transformers.
C++ • Python • PyTorch • ROS2 • OpenCV • Angular • Linux • NVIDIA PhysX • Unity3D
Quick View (30s)
- Focus: Embodied AI, humanoid loco-manipulation, learning-based control
- Core Stack: C++/Python, PyTorch, ROS2, OpenCV
- Recent: Nissan ATC-SV (Unitree G1: diffusion/RL), TA for 11-785
- Looking for: Robotics/AI roles in perception, control, and policy learning
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Email: [email protected]