Danial Mirza is an applied AI leader with nine years of experience building and deploying machine learning solutions across sectors from semiconductors and heavy industry to finance and entertainment. Currently growing OpenAI’s presence in Korea after leading Applied AI work in New York, he combines hands-on engineering with strategic partnerships to translate frontier models into real-world impact. His background in optimization and analytics (MIT ORC, UCL Statistics & Economics) and prior role launching Palantir’s Korea office give him a rare blend of technical depth and operational playbook for complex, cross-cultural deployments. Comfortable shipping full-stack prototypes—React/Next, NestJS, FastAPI—he focuses on messy, high-impact problems at the intersection of technology, people, and strategy. Known for moving quickly from prototype to scalable product, he favors pragmatic solutions that deliver measurable outcomes. Based in New York with extensive APAC experience, he thrives on bridging global teams and local customer needs.
9 years of coding experience
3 years of employment as a software developer
University College London
TIFFIN SCHOOL
Operations Research Center | MS Applied Mathematics Optimization Analytics, Operations Research Center | MS Applied Mathematics Optimization Analytics at Massachusetts Institute of Technology
Cross-Registered Student Machine Learning, Cross-Registered Student Machine Learning at Harvard University
Contributions:5 PRs, 9 pushes, 2 branches in 1 year 9 months
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