Ravsehaj Singh Puri is a machine learning engineer with seven years of experience building end-to-end AI systems, from model research to low-latency production serving, with a strong focus on data infrastructure and large-scale retrieval. He has delivered production-grade solutions in fast-paced, high-growth environments and excels at system design, technical depth, and cross-functional execution. A collaborative team player who practices Extreme Ownership, he pairs strong problem-solving skills with clear communication to drive measurable impact. His background spans academic research settings (including a visiting research internship at PAIR Lab, University of Toronto) and graduate study in computer science at ASU, with roots in CS undergrad training from TIET Patiala. He is particularly interested in AI for computer vision and in thoughtfully balancing technological benefit with societal risk. Always brainstorming new ideas, he actively seeks conversations about practical applications and responsible deployment of ML.
Contributions:2 PRs, 37 pushes, 2 branches in 7 days
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