Summary
Abhimanyu Lad is a technical leader and hands-on builder with 16 years of experience designing consumer-scale search and discovery systems, including 14 years at LinkedIn where he led the transition from rule-based relevance to semantic and LLM-powered search. He combines deep research roots (PhD from Carnegie Mellon) with product-facing engineering leadership across retrieval, ranking, query understanding, and multi-objective optimization. Known for shipping large-scale experimentation and evaluation frameworks, he has driven whole-page optimization, internationalization, and in-session assistance that shape widely used web and mobile search experiences. Currently independent in the San Francisco Bay Area, he focuses on AI-native products, agentic workflows, and interfaces for knowledge synthesis that improve human decision-making. He prefers small, high-velocity teams where strong engineering judgment, pragmatic AI use, and product taste rapidly translate into user value. An under-the-hood strength is his rare combination of probabilistic modeling expertise and practical deployment experience across live-traffic systems.
16 years of coding experience
14 years of employment as a software developer
10+2, 10+2 at Apeejay School
Ph.D., Computer Science, Ph.D., Computer Science at Carnegie Mellon University
B.Tech., Information Technology, B.Tech., Information Technology at Indian Institute Of Information Technology Allahabad