Summary
Koundinya Vajjha is a Formal Verification Engineer with a decade of quantitative and research experience, blending a PhD in Mathematics with hands-on theorem-prover work in Lean and Coq. He has formally verified algorithms across academia and industry—from optimal control and discrete geometry research to reinforcement-learning and trading-system verification at Imandra, and datapath arithmetic at Intel. Skilled in OCaml, Haskell, Python and Mathematica, he also brings practical quant experience validating VaR and AML models early in his career. Notably, his PhD thesis applied geometric optimal control to discrete geometry and earned competitive fellowships, reflecting a rare mix of deep theory and applied verification. Passionate about making AI and financial systems more robust, he focuses on pushing automated reasoning from proofs-on-paper to production-grade verification.
10 years of coding experience
3 years of employment as a software developer
Graduate Certificate in Public Policy, Public Policy Analysis, Graduate Certificate in Public Policy, Public Policy Analysis at The Takshashila Institution
Master of Science - MS, Mathematics, Master of Science - MS, Mathematics at Western University
Doctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at University of Pittsburgh
Master of Science (M.Sc.), Mathematics, Master of Science (M.Sc.), Mathematics at Indian Statistical Institute, Kolkata
English, Telugu, Hindi