Laksh Goyal
I build applied ML systems and the infrastructure under them: agent evals, storage engines, network transports, and API gateways that have to survive outside notebooks.
I'm from Mumbai, studying CS at UC San Diego ('28) with minors in cognitive science and business economics. Right now my week splits between Mountain View and San Diego: GTM/AI engineering at GMI Cloud, and bioacoustics ML research with Engineers for Exploration at the Qualcomm Institute. I like to build, break, and ship fast, mostly at the intersection of startups, medtech, and applied AI.
I like owning a system end to end: the eval harness and the agent on top of it, the storage engine and the service that stresses it, the model and the deploy path that puts it in front of people. House rule for everything I build: publish the number, and publish what the number cost. Every benchmark on this page states its losing axis, because a result you can't interrogate is marketing, not engineering.
A lot of that starts at hackathons: five of the projects on this page were built in a weekend or less. Pylon has since landed in the Bow Capital incubator, and GMI Cloud published my model-cascade benchmark. Off the keyboard: poker, 8-ball, F1 weekends, Lego builds, soccer, and too much sci-fi.
