Software Engineering Intern (Electronics Team) | Science Corp | Alameda, CA

At Science Corp, I worked on the Electronics team building deterministic Hardware-in-the-Loop (HIL) test infrastructure for their embedded neural interface device. The system validates control loops and communication paths across the full signal processing pipeline—starting from the invasive brain probe all the way through to the operating software. This end-to-end testing ensures that every component in the chain functions correctly before deployment.

A major part of my work involved setting up continuous integration by integrating Docker containers with GitHub Actions. This allowed the team to run multi-device regression tests under simulated sensor loads automatically, cutting the testing cycle time down to under 6 minutes. I maintained extensive documentation throughout the project, which enabled a seamless knowledge transfer to the full-time engineers who took over the infrastructure after my internship.

I also developed custom Python tooling to profile and visualize the performance characteristics of the real-time firmware, focusing on metrics like latency, jitter, and throughput. These tools helped the team identify bottlenecks and ensure the system met its strict real-time requirements for neural signal processing.