Hunan Rostomyan is a Senior Machine Learning Engineer based in Berkeley with 11+ years building production NLP and Generative AI systems that scale. He has shipped transformer-based services at high throughput, led question-segmentation models that improved downstream accuracy by up to 90%, and pioneered tooling and annotation workflows adopted across teams. Comfortable spanning full-stack, MLOps, and research, Hunan reduced evaluation latency from weeks to seconds by using LLMs as automated judges and applied prompt engineering to cut hallucinations while preserving user satisfaction. He combines hands-on model development (PyTorch, Transformers, LangChain) with cross-team leadership and mentoring, and has a track record of turning early-stage prototypes into integrated products—most notably through WriteLab’s integration into Chegg. An understated strength is his ability to operationalize research ideas into low-latency, GPU-backed services that serve thousands of requests per second.
11 years of coding experience
Bachelor's degree, Bachelor's degree at University of California, Berkeley
Nanodegree Machine Learning Engineer, Nanodegree Machine Learning Engineer at Udacity
Contributions:2 PRs, 73 pushes, 3 branches in 1 month
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Hunan Rostomyan - Senior Machine Learning Engineer at Nomad Health