Amogh Nalwaya is a Senior Machine Learning Engineer with nine years of experience building generative AI and MLOps platforms that turn research-grade models into reliable, cost-efficient production systems. He has led development of RAG pipelines, agentic workflows, and unified LLM access layers at Included Health to improve healthcare member experiences while instituting observability and evaluation frameworks that cut debugging time and enable data-driven prompt optimization. Prior roles include architecting scalable MLOps and parallelized training systems at Abercrombie & Fitch and deploying IoT forecasting and computer vision models at NCR, giving him deep experience across the full ML lifecycle. Based in California with an MS in Analytics from Georgia Tech, he combines hands-on engineering with a focus on operational rigor and measurable business impact.
9 years of coding experience
10 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Master of Science - MS Analytics, Master of Science - MS Analytics at Georgia Institute of Technology
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