Summary
Sourav Sharan is a machine learning and deep learning engineer with nine years of experience building production-grade computer vision and AI systems, currently pursuing a master's thesis at Scania on online and federated learning for predictive vehicle maintenance. He has driven large-scale information extraction and OCR projects at HyperVerge that impacted hundreds of millions of verifications across ASEAN, boosting accuracy and efficiency through multimodal transformer models and optimized pipelines processing over 0.6 billion data points. As a consultant and freelancer he has delivered CV features for consumer apps and implemented state-of-the-art facial recognition, object detection, and multi-camera tracking systems. Comfortable bridging research and production, he has a track record of replacing legacy models to cut GPU usage dramatically while improving end-to-end performance. Based in Uppsala and studying Data Science at Uppsala University, he blends academic rigor with hands-on deployment experience across diverse industries including fintech, telecom, and e‑commerce. An underrated strength is his background in tooling and annotation pipelines, which enables faster iteration from prototype to scalable deployment.
9 years of coding experience
8 years of employment as a software developer
High School, Physics, Chemistry, Maths, Computer Science, High School, Physics, Chemistry, Maths, Computer Science at Venkateswar International School
Bachelor of Technology (B.Tech.), Computer Science, Bachelor of Technology (B.Tech.), Computer Science at SRM IST Chennai
Master's degree, Data science, Master's degree, Data science at Uppsala University
English, Hindi