Pavan Agrawal is a software engineer and founder with nine years of experience building scalable ML and backend systems, currently working on AGI at OpenAI while leading Edith as Cofounder & CEO to recover hidden revenue for clinics via EMR and billing integrations. He has driven high-impact recommender and data-pipeline work at Meta that generated tens of millions of Reels views, and brought legacy C++ financial systems into modern, cross-platform, Kubernetes-based environments at HBK. Comfortable across the stack—from neural networks and graph learning to distributed services and cloud infrastructure—he combines research-grade ML experience with practical productionization. A dual Computer Science and Business honors student at UT Austin, he pairs technical depth with commercial sensibility and a history of shipping revenue-driving features. Less obvious: his early research in brain–machine interfaces and heterogeneous facial recognition shows a longstanding interest in applied AI at the intersection of human impact and systems engineering.
9 years of coding experience
1 year of employment as a software developer
Business Honors Program, Business Honors Program at Texas McCombs School of Business
Computer Science Honors, Computer Science Honors at The University of Texas at Austin
Contributions:21 commits, 17 pushes in 3 years 1 month
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