Summary
Binal Patel is a data scientist with 11 years of experience applying AI, ML, and software engineering across hedge funds, healthcare, and consumer tech. He has built end-to-end ML systems—from training custom deep learning models on longitudinal EHR and unstructured text to deploying LLMs, CV, and recommendation models in production using Kubernetes, Triton, and DVC. At firms including Sequoia Capital Global Equities, Samsung NEXT, and Citadel, he’s translated exotic and high-volume datasets into actionable product and investment insights. He was often an early technical hire, responsible for standing up reproducible pipelines, real‑time prediction systems, and analytics platforms that directly influenced decisions and saved millions. Comfortable bridging research and engineering, he has a track record of productionizing SOTA models (e.g., CLIP applications and recipe/image search) while keeping interpretability and operational robustness front and center. Based in the Raleigh–Durham area, he pairs a statistics master’s and economics background with hands-on infrastructure chops to deliver measurable impact.
11 years of coding experience
8 years of employment as a software developer
B.S., Economics: Business Concentration, Magna Cum Laude, B.S., Economics: Business Concentration, Magna Cum Laude at North Carolina State University
Hindi