Summary
Praveen Tirupattur is a machine learning researcher with a PhD in Computer Science and a decade of experience building and deploying deep learning systems across academia and industry. He has led award-winning video analytics projects at UCF (winning ActEV SDL 2020) and contributed to large-scale representation learning at Amazon and Pinterest, with practical expertise in actor localization, multi-label action classification, and gait/biometric recognition. Currently at PhotoDay, he focuses on productionizing image post-processing models—optimizing training and inference costs while improving accuracy through careful dataset curation. Comfortable with both research and engineering, he has a strong backend and systems background from early roles in Java and backend development, which helps him bridge prototype research to scalable production. Based in Ohio on an O1 visa, he combines rigorous academic training with a track record of competitive challenge wins and real-world deployments.
10 years of coding experience
12 years of employment as a software developer
Jawaharlal Nehru Technological University Hyderabad
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Central Florida
Master’s Degree Artificial Intelligence, Master’s Degree Artificial Intelligence at RPTU Kaiserslautern-Landau
High School, High School at Siddartha High School
High School Mathematics Physics Chemistry, High School Mathematics Physics Chemistry at M S Joy's Junior College
English, German, Hindi, Telugu