Summary
Caleb Cho is a computer science undergrad at UC Santa Cruz specializing in ML systems, edge deployment, and bridging the gap between model training and real-world constraints. He has hands-on experience optimizing vision models in C++ with TensorRT for embedded hardware, building logging and benchmarking tools for real-time systems, and debugging GPU/CPU/memory bottlenecks. Caleb co-led an ML research effort at Overture Maps that engineered production-friendly MLP+NCM solutions, achieving fast incremental updates and strong cross-dataset robustness. His internships include converting Python vision stacks to high-performance C++ with pybind11/ONNX on Jetson/TI platforms and building large-scale continual learning benchmarks. Comfortable across ML, systems, and hardware, he brings both practical deployment intuition and a research-minded approach to performance trade-offs. Outside coursework, he’s applied his robotics competition experience to real autonomous and edge-AI problems, demonstrating durable systems thinking under resource constraints.
10 years of coding experience
4 years of employment as a software developer
High School Diploma, High School Diploma at Davis Senior High School
University of California Santa Cruz
Sophomore, Sophomore at Da Vinci Charter Academy