Abhinav Naikawadi is a Machine Learning Engineer in the San Francisco Bay Area with three years of experience building production ML systems at companies ranging from startups to large platforms. He has shipped geo-spatial ML pipelines and ranking models at Uber, deployed end-to-end ML services and A/B experiments, and served as a founding ML engineer at Refuel before joining Pinterest. His technical toolkit spans Spark ETL, H3 geo-indexing, XGBoost, PyTorch, Kalman-filtered ARIMA models, and backend services in Java/Go, reflecting hands-on work from model training to production monitoring. He pairs strong academic foundations from Cornell with practical research in differentiable rendering and SVBRDF reconstruction, an area not typical for production ML engineers. Comfortable across applied research, backend engineering, and deployment, he focuses on turning complex spatial and time-series data into robust, measurable product gains. Colleagues would note his knack for bridging algorithmic innovation with pragmatic operational rigor.
2 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Cornell University
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Abhinav Naikawadi - Machine Learning Engineer at Pinterest