Summary
Xander Hinrichsen is a robotics-focused machine learning engineer and current NVIDIA intern pursuing a master's in computer science at UC San Diego, with three years of hands-on research experience in robot action generation, learned rendering, and sample-efficient RL. He has contributed to academic projects at USC and UCSD, built a PyTorch-based ML curriculum for student events, and served as an instructional assistant for algorithms and math courses, reflecting strong foundations in applied mathematics. Xander is specifically driven to develop ML paradigms that train without industry-scale hardware, aiming toward a research career and eventual PhD. Notably, his background blends practical robotics software engineering with generative image techniques for complex robotic behaviors—an uncommon intersection that fuels his interest in high-dimensional data generation and field-ready architectures.
3 years of coding experience
2 years of employment as a software developer
University of California, San Diego