Summary
Eliav Schmulewitz is a data scientist engineer with 11 years of experience building and productionizing ML solutions across cloud platforms, currently integrating Large Language Models into enterprise workflows using Amazon Bedrock and AWS Lambda. He has hands-on expertise in time-series demand sensing, supervised classification and regression, and end-to-end deployment with Databricks, SQL, and Python, driving measurable improvements in forecasting and supply chain responsiveness. His career spans startups and larger organizations—from AT&T to Pecan AI and BeeHero—demonstrating an ability to bridge data engineering, product, and operations to operationalize ML pipelines. Based in Jerusalem with a B.Sc. in Atmospheric Science, he brings a scientific mindset to noisy sensor data and an uncommon background that blends environmental analytics with cutting-edge AI engineering.
11 years of coding experience
9 years of employment as a software developer
B.Sc, Atmospheric Science, B.Sc, Atmospheric Science at The Hebrew University of Jerusalem
Biology, Biology at Yeshiva High School