Samuel Randall is a Principal Applied Scientist based in Menlo Park with 10 years of experience applying first-principles reasoning to build high-performance, production-ready ML systems and prototypes. At BluelightAI he has progressed from hands-on engineering to leading generative AI initiatives, co-leading commercial engagements and designing product schemas that bridge research and go-to-market efforts. He has a strong background in rapid prototyping—shipping an iOS fever-detection MVP in six weeks and creating automated error-analysis tooling and data-augmentation pipelines that measurably improve classifier performance. Trained in computational and mathematical engineering at Stanford and applied math/public health at Johns Hopkins, he combines rigorous quantitative foundations with product-focused iteration and customer feedback loops. Notably, he pairs graph/layout algorithm improvements and scalable data-scraping strategies with mentorship and team-building to turn ambiguous, weakly labeled data into actionable model improvements.
9 years of coding experience
2 years of employment as a software developer
Johns Hopkins University
High School, Mathematics and Computer Science, High School, Mathematics and Computer Science at Amherst College
High School, Graduated with a 3.9 GPA, High School, Graduated with a 3.9 GPA at Amherst Regional High School
Master of Science - MS, Computational and Mathematical Engineering, Master of Science - MS, Computational and Mathematical Engineering at Stanford University
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Samuel Randall - Principal Applied Scientist at BluelightAI