In 2024, I joined Yonder to develop high-throughput electrochemistry systems. Yonder is a fast-moving startup using AI-driven analysis to discover new materials. The core idea is to use a proprietary materials discovery lab to autonomously create materials at scale, training AI on real data and not synthetic predictions.

At Yonder I created a self-driving electrochemistry system from end-to-end. I wrote a full software stack to manage lab equipment, fetch, and preprocess data for AI. Additionally I developed hardware, including both a CMOS “lab-on-a-chip” with over 1000 electrode sites directly on silicon, and various supporting PCBs.

I’m currently serving as a technical advisor to support the system's continued growth.

In 2026, I joined AeroVironment to develop industry-grade avionics boards. Throughout my time there I built hardware to enable fully-autonomous autopilot. My work focused on design tradeoffs to optimize cost for scaling production while also meeting the various needs of different product lines. I worked extensively in Altium to implement both schematic and layout.

Recently, I joined a startup providing evals and post-training infrastructure to frontier labs to train industry-leading AI models. Since joining, I’ve led the expansion of the company’s electrical engineering expertise and have developed frameworks to advance PCB creation ability in frontier models.

Rather than designing hardware directly, I focus on how to break down electrical engineering into learnable steps that build to a combinatorial product. I am beyond excited to be applying my skill set in an unconventional way and for a cutting-edge industry. If you are interested in collaborating, reach out!