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Summary

• Future Ph.D. from UC Berkeley developing state-of-the-art machine learning and control algorithms for continuous time systems
• Experience pushing the limits of artificial intelligence with high-quality, highly-collaborative code at Sony AI
• Over two years of cumulative experience in industry in control systems, computer science, product development, and manufacturing

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News

• Feb 2024: My co-first author paper "Skill-Critic: Refining Learned Skills for Reinforcement Learning" was accepted for publication in IEEE's Robotic and Automation Letters.
• Jan 2024: My first author paper "Real-time Trajectory Generation via Imitation Learning of Dynamic Movement Primitives for Autonomous Racing" was accepted to the 2024 American Control Conference.

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Education

Ph.D. Mechanical Engineering
University of California, Berkeley | May 2024

• PI: Masayoshi Tomizuka
• Minors: AI & Optimization

M.S. Mechanical Engineering
University of California, Berkeley | May 2021
B.S. Mechanical Engineering
Purdue University | May 2019

• GPA 3.98 - Highest Distinction
• Spanish Language Minor

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Programming

Python 🔵🔵🔵🔵🔵
PyTorch 🔵🔵🔵🔵🔵
Tensorflow 🔵🔵🔵🔵⚪
C/C++ 🔵🔵🔵🔵⚪
MATLAB 🔵🔵🔵🔵🔵
Simulink 🔵🔵🔵🔵⚪
Excel VBA 🔵🔵🔵🔵⚪
LaTex 🔵🔵🔵🔵🔵
HTML 🔵🔵🔵⚪⚪

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Select Algorithms

• Model Predictive Control (MPC, iLQR)
• Reinforcement Learning (SAC, PPO)
• Imitation Learning (GANs, GAIL)
• Time-series segmentation (HDPHMM)
• Sequence Modeling (Decision Transformer)
• Attention Mechanisms (VAE)
• Hierarchical RL (Options, Skills, Goals

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Skills

• Environment control (conda, Docker)
• Version control (Github)
• Coding style guidelines and typing (MyPy)
• Cloud computing (AWS)
• GPU training (CUDA)