Summary
Naman Makhija is a software engineer with a decade of experience building scalable systems across consumer and enterprise products, currently working on Content Quality Signal Delivery at Pinterest. A CS and Math alum from UIUC, he has shipped features and infrastructure at Atlassian (cross-product user search), Amazon (Alexa Entertainment video catalog), and Signifyd (prediction services), with early work in speech/NLP research for live captioning. He blends backend systems and data-driven product work, and has moved between large-scale search, recommendation, and ML-inference infrastructure. Based in San Francisco, he brings a pattern of tackling cross-team identity, discovery, and quality problems end-to-end, with a practical research background that informs production reliability.
10 years of coding experience
6 years of employment as a software developer
Bachelor's degree Computer Science and Mathematics, Bachelor's degree Computer Science and Mathematics at University of Illinois Urbana-Champaign
High School Diploma, High School Diploma at GD Goenka Public School
English, Hindi, French