Summary
Josh Feldman is a software engineer with eight years of experience building data-driven systems, currently improving YouTube recommendations at Google. He brings a strong foundation in both backend and frontend development from prior roles at Goldman Sachs—where he modernized data intake flows and uplifted legacy systems—and a data science master's from Columbia. Comfortable across Java, JavaScript, SQL and NoSQL, he blends production-grade engineering with applied ML insights from a Medidata data science internship. Based in the New York City area, he pairs practical product-focused implementation with research-informed thinking, often translating complex data models into scalable services. A subtle through-line in his career is bridging analytics and engineering to turn recommendation research into reliable user-facing systems.
8 years of coding experience
2 years of employment as a software developer
Masters, Data Science, Masters, Data Science at Columbia University in the City of New York
Bachelor's degree in Engineering, Information Science, Systems, and Technology, Bachelor's degree in Engineering, Information Science, Systems, and Technology at Cornell University