Saurabh Shah is an ML-focused engineer with six years of experience building and productionizing language and reinforcement learning systems across academia and industry. He’s contributed to state-of-the-art LLM work—training Olmo 3 to code and tooling RL + code-execution pipelines—and helped ship LM-powered NLU features for Siri at Apple. Comfortable wearing “lots of hats,” he moves fluidly between research (ACL-published robustness work) and engineering (cloud-scale vision tooling at Amazon and iOS tooling for model evaluation). Currently at humans& he focuses on AI that augments human work rather than replaces it, reflecting a pragmatic product-minded approach to model design. His background includes hands-on systems work from SDKs and full-stack web apps to distributed training and parameter-efficient pretraining experiments. Colleagues describe him as equally at home debugging loss spikes in a 7B model as building user-facing tooling to measure real UX impact.
5 years of coding experience
4 years of employment as a software developer
High School Diploma, High School Diploma at Cherry Hill High School East
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Pennsylvania
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Saurabh Shah - Member Of Technical Staff at humans&