Rohith Ravindranath is a senior ML engineer and data scientist with eight years of experience building production AI systems across healthcare and enterprise domains. Currently a Forward Deployed Engineer in healthcare, he engineers multi-agent, RL-alignment and automated evaluation pipelines for frontier LLMs and medical reasoning, having previously led applied ML infrastructure and revenue-driving appraisal models at C3 AI. His background blends deep academic research—10 ophthalmology publications and an ARVO 2024 podium on multimodal glaucoma prediction—with hands-on systems work optimizing Kafka/Flink ETL and distributed PyTorch training for production. Rohith repeatedly bridges research and product: he builds reproducible ML lifecycles, scalable ETL and tooling that cut deployment time dramatically while enabling rigorous model monitoring and clinical-grade evaluation. Based in San Francisco, he pairs a Columbia MS and Purdue BS with a knack for turning complex, multimodal healthcare data into auditable, high-impact models.
9 years of coding experience
B.S., Computer Science, Data Science and Applied Statistics, B.S., Computer Science, Data Science and Applied Statistics at Purdue University
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