Intern Robotics/ML Engineer specializing in autonomy, networking, and systems software
San Diego, CARobotics Engineer Intern - Network System2 years experienceInternGovernmentTransportation & LogisticsRobotics
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About
Robotics software engineer who built a lightweight, ROS-free distributed control and telemetry stack for a Caltrans long-range culvert inspection robot. Strong in integrating heterogeneous hardware (UART motor controllers, Ethernet sensors, MJPEG cameras) and delivering real-time operator data via FastAPI/WebSockets, including reverse-engineering undocumented protocols and debugging network-induced latency with control-loop redesign.
Experience
Robotics Engineer Intern - Network SystemCaltrans
Applied ML Research Engineer - AutonomyUniversity of California, San Diego
Lead Software Engineer - NASA Robotics Alliance ProjectPasadena City College
Education
University of California, San Diegobachelor, Computer Science (2026)
Key Strengths
Designed distributed control/telemetry architecture for long-range (300ft) wireless culvert inspection robot
Built real-time FastAPI/WebSocket service streaming motor stats, servo telemetry, camera frames, and network diagnostics
Reverse-engineered undocumented motor controller protocol from raw UART bytes via controlled command/response logging
Improved robustness with packet validation (header/length) to discard noisy/invalid telemetry
Diagnosed intermittent latency using stage-by-stage timestamping and redesigned command pipeline to fixed-rate loop with stale-command dropping
Integrated heterogeneous subsystems (UART motor controller, Ethernet HoverMap sensor, MJPEG cameras, wireless mesh operator tablet) via normalized Pydantic message schemas
Created a Python UART-response simulator to test backend without hardware; used Docker for consistent dev/prod on Raspberry Pi and GitHub Actions for CI
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