Sagar Rathod is a Data Scientist III with a decade of engineering experience and 5+ years focused on machine learning and computer vision, currently building low-latency, production-grade ML systems at TomTom. He has delivered measurable impact—automating road geometry updates to cut manual work by 83% and costs by 90%, and driving a $5M savings by optimizing map anchor placement—while working end-to-end from PyTorch models to Airflow-orchestrated pipelines. Comfortable translating ambiguous product problems into scalable solutions, he blends geospatial ML, ETL, and real-time inference expertise with hands-on engineering roots in Java and backend systems. A BITS Pilani MTech candidate in AI/ML with a background in mobile development, he pairs rigorous academic training with practical deployment experience across global mapping workflows. Not obviously visible is his knack for clustering and representation learning (Siamese networks) to improve routing and cartography efficiency, demonstrating both creative research thinking and operational discipline.
10 years of coding experience
8 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Engineer’s Degree, Information Technology, First Class with Distinction, Engineer’s Degree, Information Technology, First Class with Distinction at Pimpri Chinchwad Education Trust'S. Pimpri Chinchwad College Of Engineering
Diploma in Engineering, Information Technology, First class with distinction, Diploma in Engineering, Information Technology, First class with distinction at Government Polytechnic College
Android Developer Nanodegree, Mobile Application Development, Android Developer Nanodegree, Mobile Application Development at Udacity
Contributions:8 commits, 5 pushes, 1 branch in 1 month
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