Résumé
Robotics and autonomy résumé.
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Summary
Computer science graduate student focused on controls, reinforcement learning, and robust autonomous systems for vehicles and robots.
- Researching methods to develop more adversarially robust reinforcement learning policies.
- Experience across model-based autonomy, ROS/ROS 2 systems, embedded integration, and robot learning.
- USC Men’s Track & Field team captain and 2x national champion team member.
- Bilingual in English and Spanish; available for full-time opportunities beginning May 2026.
Focus areas
- Controls and reinforcement learning
- Autonomous vehicle systems
- Robotic perception and planning
- Safety-aware robot learning