Kia Rahmani is an Applied AI Scientist with a decade of experience at the intersection of program synthesis, formal methods, and LLM-driven code generation, currently applying those skills at Durable. With a PhD from Purdue and a recent postdoc at UT Austin, Kia blends deep theoretical foundations with hands-on research experience, including a research internship at Microsoft. They have a track record of turning formal verification ideas into practical developer-facing tools and workflows that improve code correctness and automation. Based in Irvine, Kia brings an academic rigor to product-oriented AI problems and a background in teaching that sharpens their ability to communicate complex concepts to engineers and stakeholders.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Purdue University
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Sharif University of Technology
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