Dima Kamalov is a software engineer in San Francisco with 13 years of experience building data infrastructure, predictive models, and geolocation/routing solutions across startups and scale-ups. At Asana he designs data lake and ingestion systems (S3/Glue/Protobuf, Spark, Airflow) while previously shipping pricing and scheduling models at Thumbtack and Homejoy. His background in physics informs a quantitative approach to messy, real-world data problems—optimizing antenna tilts, estimating travel times, and reducing unbooked jobs. Comfortable across Scala/Spark and Python, he focuses on making data discoverable and pipelines reliable at production scale. He’s equally at home prototyping models and hardening distributed data systems, bringing both research rigor and product-minded pragmatism.
13 years of coding experience
5 years of employment as a software developer
Masters, Physics, Masters, Physics at San Francisco State University
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