Tarandeep Singh is a data scientist and M.Tech (by research) candidate in Artificial Intelligence at IIT Hyderabad with eight years of industry experience building ML-driven products and research prototypes. He combines research on machine- and human-interpretable digital addresses—leveraging computer vision, NLP and geospatial analysis—with production experience in end-to-end retrieval and recommendation systems at Netradyne and DeNA. His work spans joint text-video embeddings, temporal modeling, GNN prototyping for personalization, and practical deployment patterns (Mediator design pattern, on-device/cloud pipelines). Comfortable across Python, C#, Django and .NET, he brings both academic rigor (top grades at IIT Hyderabad and strong BTech performance) and applied engineering discipline to scale AI solutions for e-commerce, logistics and governance. Notably, his research aims to generate meaningful, verifiable addresses at national scale—a blend of societal impact and technical depth that drives his career direction.
8 years of coding experience
4 years of employment as a software developer
Master of Technology - MTech, Artificial Intelligence, 9.37, Master of Technology - MTech, Artificial Intelligence, 9.37 at Indian Institute of Technology, Hyderabad
Bachelor of Technology - BTech, Computer Science, 9.15, Bachelor of Technology - BTech, Computer Science, 9.15 at Maharaja Ranjit Singh Punjab Technical University
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