Summary
Gabor Szita is an undergraduate Computer Science researcher at UC Santa Barbara with hands-on experience in hardware design, robotics software, and SLAM research. He has implemented floating-point arithmetic cores and neural network inference on FPGAs, built tools for Lattice iCE40 bitstream manipulation, and automated tests for PyRTL. As a high-school robotics developer he led backend and privacy for a React Native scouting app, migrated its backend to Supabase/PostgreSQL, and developed scheduling and form-creation features used in competition. His SLAM project combined lidar, gyro, and AprilTag data to materially improve localization accuracy, showing an early aptitude for sensor fusion. Recently he fine-tuned CodeLlama to reverse-engineer BLIF netlists into Verilog—boosting accuracy by 11.6%—and architected a multi-agent pipeline to handle contexts larger than a single LLM window. Based in San Francisco, he pairs low-level hardware skills with practical software engineering and applied ML for reverse engineering and embedded systems.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at UC Santa Barbara
Los Altos High School
English, Hungarian, German