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United States
3+ years of experience
My curiosity about how things work has led me to explore both software and hardware, and through those experiences I’ve discovered how much I value building, collaborating, and creating projects with real-world impact. As Editor-in-Chief of the Viterbi Conversations in Ethics magazine, I’ve come to understand that engineering is not just about innovation, but also about the responsibility that comes with shaping the world around us.

LockLens is a pay-per-inference AI vision platform that enables any Linux-based robot with a serial motor controller to follow any target specified in plain English. No fiducial markers, no physical setup, no retraining required. The reference implementation runs on a custom hoverboard conversion with 8.5 inch hub motors, Flipsky VESC motor controllers connected via CAN bus, a 36V battery system with onboard charging, and a Raspberry Pi 4B running the full inference stack. A 5 inch touchscreen dashboard displays the live camera feed, bounding box overlay, latency, confidence, frame count, and cost in real time. The AI pipeline sends camera frames from the Pi to a Qwen2.5-VL-7B-Instruct model served by vLLM on an AMD MI300X GPU via AMD Developer Cloud. The model returns normalized bounding box coordinates which feed into a proportional controller driving the motors. Each inference call is metered via X402 micropayments, fractions of a cent per frame, no subscription, no charge when idle. Built solo for the AMD Developer Hackathon 2026, Track 3: Launch and Fund Your Startup.
10 May 2026