Summary
Shariq Mobin is a Forward Deployed Engineer and founder with 12 years of experience building real-world ML and audio systems that bridge neuroscience, acoustics, and embedded firmware. He founded AudioFocus (YC-backed and NIA‑funded) to tackle hearing-aid adherence, inventing a patented approach to the cocktail party problem and building an acoustic ray-tracing pipeline that produced massive synthetic BRIR datasets for training models. At Modal he now applies that expertise to LLM inference, TTS, diffusion, protein folding, and synthetic-data generation, while retaining hands-on firmware and C++ real-time audio experience from deploying models on embedded hearing-aid hardware. Trained as a PhD neuroscientist at UC Berkeley, he combines rigorous theory-driven research with product-focused engineering and clinical collaboration across Stanford, Johns Hopkins, and UoP. Notably, he has scaled GPU-driven data generation and on-device pipelines—an uncommon blend of large-scale cloud ML and low-latency embedded systems.
12 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD), Computational Neuroscience, Doctor of Philosophy (PhD), Computational Neuroscience at University of California, Berkeley