Summary
Meet Parekh is a Senior Software Engineer with 9 years of experience designing and shipping large-scale search and AI systems that drive measurable business impact. At Zoro he led the buildout of an in-house search platform—replacing a third-party provider and saving ~$500K annually—while improving CTR from 29% to 40% and CVR from 3.6% to 6.1% through ML-driven ranking and systematic experimentation. His expertise spans information retrieval, learning-to-rank, vector search and embeddings, low-latency inference, and distributed ETL pipelines, and he builds self-serve ML tooling that empowers engineers and data scientists to iterate safely. Previously at CB Insights he engineered event-driven pipelines and external APIs that contribute $4M+ in annual revenue, and experimented with recommendation systems using Qdrant and LLMs. He blends research and product thinking—publishing and speaking on relevance engineering—and is actively exploring conversational, agentic discovery workflows that combine LLMs with retrieval for more actionable product discovery.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at New York University
Bachelor of Technology (B.Tech.), Information Technology, Bachelor of Technology (B.Tech.), Information Technology at Veermata Jijabai Technological Institute (VJTI)