Summary
Kalin Kanov is a senior software engineer with 11 years of experience building large-scale data and ML-driven systems, currently leading a team in Amazon Ads that powers insights, recommendations, and personalization for self-service advertisers. He designs and scales services that operate over petabytes and more than 5 billion products, and is driving the integration of LLM agents to enable conversational access to advertising insights. Previously he built high-throughput pricing infrastructure at Bloomberg (processing billions of ticks daily) and was the sole developer and designer of the Johns Hopkins Turbulence Databases, reflecting deep expertise in scientific databases and batch-query evaluation. Kalin holds a Ph.D. in Computer Science from Johns Hopkins, where his research focused on efficient evaluation methods for large-scale simulation labs. He combines research rigor with product-focused engineering, delivering ML-powered ranking and recommendation systems that move billions in ad spend. Based in New York, he blends low-level performance tuning experience with strategic architectural leadership across analytics, personalization, and conversational interfaces.
11 years of coding experience
16 years of employment as a software developer
Johns Hopkins University
Bachelor of Arts (B.A.), Astronomy and Physics, Bachelor of Arts (B.A.), Astronomy and Physics at University of Virginia
English, Bulgarian, Russian