Summary
Anti Lippasaar is a data-driven machine learning and business intelligence professional with nine years of experience applying predictive modeling, data pipelines, and product-focused analytics across automotive, transportation, and verification domains. He has built end-to-end solutions—from setting up AWS SageMaker and LightGBM models for vehicle fault prediction to designing annotation pipelines and internal tooling that scaled at Veriff and Starship. As a former founder and hands-on developer, he combines full-stack web experience (Vue, FastAPI, PostgreSQL, Docker) with operational know-how in infrastructure and annotation project management. Colleagues rely on him to turn messy telemetry and annotated data into actionable insights for clients, and he brings a practical appetite for experimentation and continuous learning. Based in Tallinn, he is fluent in Estonian and English and seeks opportunities at the intersection of ML, data engineering, and analytics.
9 years of coding experience
2 years of employment as a software developer
Unfinished, IT, Unfinished, IT at Tallinna Tehnikaülikool
English, Estonian