Summary
Nimish Ronghe is a Staff Machine Learning Engineer with a decade of industry experience building production ML systems, currently shaping recommendation and ads ranking at PayPal after leading similar efforts at eBay. He specializes in NLP, LLM-driven products, and robust data pipelines, with a track record of improving ranking algorithms and deploying optimized models in product contexts. Nimish has led cross-functional teams—previously managing an AI team in Mumbai for Prudential—and brings both research experience from UC Irvine and hands-on engineering from roles at JPMorgan and BMC. Comfortable with unstructured data and statistics, he combines research-informed techniques with production engineering discipline to move models from prototype to scalable deployment. Outside work he’s an avid footballer who can easily sustain long technical conversations, reflecting a collaborative, curious approach to problem solving.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Maharashtra Institute of Technology
University of California, Irvine
English, Marathi, Hindi