Summary
Hiron Roy is a Head of AI Engineering based in New York with 11 years building production-grade ML and data systems across finance and media. He has led AI and applied modeling teams at Bloomberg and now drives AI engineering at Walleye Capital, translating research into robust, scalable pipelines. His background combines quantitative research, ML system architecture, and hands-on MLOps—having implemented Spark- and AWS-centered solutions, TensorFlow/Keras models, and end-to-end deployment at firms like Point72 and Hawkfish. Known for bridging research and engineering, he has repeatedly moved models from prototype to low-latency, auditable production in high-stakes environments. A Georgia Tech computer science alumnus, he brings both deep technical fluency and practical delivery experience in regulated, data-intensive domains. Colleagues often note his knack for simplifying complex modeling tradeoffs into pragmatic engineering roadmaps.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Georgia Institute of Technology