Summary
Vasilis Depastas is a Forward Deployed Engineer and data-driven software professional with nine years of experience building production-grade analytics and backend systems across insurance, manufacturing IoT, and consumer industries. He combines an MSc in Data Science & Machine Learning and an MEng in Electrical and Computer Engineering with hands-on expertise in Python, FastAPI/Django, cloud CI/CD, and ML tooling to deliver end-to-end solutions from data ingestion to live dashboard predictions. At Swiss Re and Philip Morris he implemented automated forecasting and integration pipelines (Palantir Foundry, Snowflake, TabPy) while at GWF he led the migration from a monolith to microservices and designed new PostgreSQL schemas for IoT telemetry. Comfortable switching between data engineering, application development, and stakeholder-facing product work, he has a track record of shipping reliable, tested code and operational analytics. Based in Zurich, he brings a background in business development and research that helps him translate ambiguous requirements into measurable KPIs and productionized models. An unusual strength is his blend of field-level systems thinking from electronics and communications with modern MLOps practices, enabling pragmatic yet scientifically rigorous solutions.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering (BEng) Electrical and Electronics Engineering, Bachelor of Engineering (BEng) Electrical and Electronics Engineering at Kaunas University of Technology
Master's degree Data Science & Machine Learning, Master's degree Data Science & Machine Learning at National Technical University of Athens
High School Diploma General education technology oriented, High School Diploma General education technology oriented at “Dimostheneion Lykeio Paianias”
Greek, English, Spanish, German