Senior Associate, Data Scientist AI HUB (Artifial Intelligence HUB)
Pittsburgh, Pennsylvania, United States
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Summary
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Senior
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Top School
Jeel Shah is a data scientist and AI practitioner with 11 years of experience who currently leads applied AI efforts as a Senior Associate in BNY’s AI Hub after completing a Master’s in Artificial Intelligence and Innovation at Carnegie Mellon. He blends deep learning research and hands-on engineering—teaching flagship CMU deep learning courses, building production computer vision pipelines at CapSen Robotics, and delivering inspection and claims automation at IBM. Jeel’s work spans the full model lifecycle from architecture and PyTorch implementations to ROS integration and business-facing product discovery with Bosch, demonstrating an uncommon mix of academic mentorship and product-driven impact. Based in Pittsburgh, he pairs intellectual curiosity in philosophy and writing with practical skills in GNNs, transformers, and vision models to translate complex research into measurable outcomes like substantial accuracy and pick-rate improvements.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Technology (B.Tech.) Computer Science and Engineering, Bachelor of Technology (B.Tech.) Computer Science and Engineering at NIIT University
International Baccalaureate Physics HL Chemistry HL Math HL French SL English S L ITGS SL Literature in English SL, International Baccalaureate Physics HL Chemistry HL Math HL French SL English S L ITGS SL Literature in English SL at Navrachana International School
Master's degree Artificial Intelligence and Innovation, Master's degree Artificial Intelligence and Innovation at Carnegie Mellon University
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