Nikhil Sapru is a product manager specializing in AI/ML platform engineering with a decade of cross-industry experience and 5+ years focused on building machine learning products from 0-to-1 through enterprise scale. He has led ML platform strategy and execution at financial and mobility firms, cutting model development time by 30% and boosting user retention by 70% through targeted user research and feature prioritization. Comfortable bridging deep technical knowledge in ML with stakeholder-driven roadmaps, he defines OKRs, PRDs, and standardized reporting to align engineering, design, and executive priorities. His background spans hands-on data science and research (including translation and sentiment models) as well as earlier reliability engineering that delivered six-figure operational savings, giving him a rare combination of product, research, and operational rigor. Based in San Francisco, he has repeatedly validated product-market fit via extensive customer discovery and pilot launches across industries. He is known for turning empirical user insights into measurable platform adoption and delivery metrics.
10 years of coding experience
6 years of employment as a software developer
Master of Applied Science (MASc) Machine Learning and Natural Language Processing, Master of Applied Science (MASc) Machine Learning and Natural Language Processing at University of Guelph
A ML model to detect deceptive(fake) Hotel and Electronic reviews
Contributions:5 PRs, 31 pushes, 4 branches in 2 years 1 month
detectelectronicmachine-learning
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