Summary
Amitayush Thakur is a Ph.D. candidate and Graduate Research Assistant at UT Austin specializing in automated reasoning and verified program synthesis through neuro-symbolic AI and large language models. With 12 years of experience and a five-year tenure at Microsoft building distributed cloud microservices, he bridges rigorous mathematical foundations (M.Sc. Mathematics) and practical software engineering. He has hands-on expertise in training, fine-tuning, and prompt engineering of GPT-style models, and applies deep learning to both programming languages and natural language tasks. His background includes research-driven program synthesis work (PROSE) and applied systems engineering for Azure Backup and Recovery, reflecting a rare mix of production-grade cloud experience and formal methods research. Based in Austin, he also contributes to AI agent and framework development for complex systems design, demonstrating a knack for turning theoretical insights into scalable tooling.
12 years of coding experience
5 years of employment as a software developer
Phd, Computer Science, Phd, Computer Science at The University of Texas at Austin
Chinmaya Vidyalaya
Master of Science (M.Sc.) Mathematics, Bachelor of Engineering (BE) Computer Science, Mathematics and Computer Science, 9.02/10, Master of Science (M.Sc.) Mathematics, Bachelor of Engineering (BE) Computer Science, Mathematics and Computer Science, 9.02/10 at Birla Institute of Technology and Science
English, Hindi