Forough Mehralian is a Senior Data Scientist with 11 years of experience specializing in automated evaluation, benchmarking infrastructure, and agentic GenAI systems, currently driving AI evaluation research and product engineering at Grid Dynamics in Seattle. She has a strong track record of turning experimental prototypes into enterprise-grade tooling—designing self-service benchmarking platforms, pluggable evaluators, and eval-driven optimization loops for multi-agent graders and automated code repair. Her research background includes a PhD from UC Irvine where she led an NSF-funded project that produced state-of-the-art accessibility fixes and high-precision automated testing for mobile apps, and she brought LLM-based accessibility repair techniques to Apple. Forough combines deep research rigor with practical engineering—delivering production systems that reduce costs and surface hard-to-detect issues—and she often bridges program analysis with LLM architectures to improve real-world software accessibility and developer workflows.
11 years of coding experience
6 years of employment as a software developer
Master's degree Computer Software Engineering, Master's degree Computer Software Engineering at Sharif University of Technology
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Forough Mehralian - Applied Scientist at Confidential Client