Summary
Ayaan Shah is a machine-learning-focused software engineer with three years of hands-on experience building high-throughput, production-facing systems across recommendations, distributed computing, and LLM applications. He’s delivered ML-driven features at Meta for Facebook Feed recommendations and now contributes to security-focused engineering at Prophet Security, combining product impact with systems rigor. At university he led student ML projects and taught large C++ courses, demonstrating both technical depth and the ability to scale knowledge across teams. His internships—spanning ML platform work at nod.ai and tooling and UX roles at Clari and Viking Cloud—reflect a knack for making performant models and developer-facing tools work in real environments. Notably, he began exploring LLM applications prior to the ChatGPT wave, showing early initiative in applied generative AI.
2 years of coding experience
3 years of employment as a software developer
Bachelor of Science (Computer Science), Bachelor of Science (Computer Science) at Siebel School of Computing and Data Science
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Illinois Urbana-Champaign
International Baccalaureate Diploma, International Baccalaureate Diploma at Ahmedabad International School
Indian Certificate of Secondary Education, Indian Certificate of Secondary Education at Eklavya School, Ahmedabad
English, Gujarati, Hindi