Brian Park is a software engineer and machine learning practitioner based in New York, focused on interpretable AI and practical mathematical approaches to modeling. With a Master’s in Scientific Computing and a BSE in Computer and Information Science, he builds production-ready ML toolkits and libraries—from PyTorch lattice layers to LLM and calibration utilities—while prioritizing code clarity and reusability. His background includes image-processing work for hyperspectral microscopy and backend systems for matchmaking platforms, demonstrating a mix of low-level algorithmic skill and full-stack pragmatism. At SOTAI and Mirascope he tackles transparency and trust in AI, translating theoretical insights about neural nets and vision into usable tooling for data scientists. A former squad leader in the Korean Army, he brings disciplined project ownership and an eye for mathematical detail that shows up in both research-driven projects and clean engineering.
3 years of coding experience
High School Diploma, High School Diploma at Collegiate School
Master of Science - MS, Scientific Computing, Master of Science - MS, Scientific Computing at New York University
Computer Software Engineering, Computer Software Engineering at Horizons School of Technology
Bachelor of Science in Engineering - BSE, Computer and Information Science, Mathematics (Minor), Bachelor of Science in Engineering - BSE, Computer and Information Science, Mathematics (Minor) at University of Pennsylvania
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