Summary
Şevki Yöntem is an AI/ML Engineer with 11 years of experience building large-scale, high-performance data systems across trading, AdTech, and geospatial analytics. He architects end-to-end data lifecycles—schema design, governance, pipelines, and performance tuning—delivering measurable impact like 20% cloud cost savings and a 40× speedup in spatial queries. Skilled in Python, SQL, Spark, Kafka, Airflow, Redis and cloud platforms (AWS/GCP), he turns complex workflows into reliable, production-ready pipelines and self-serve analytics. As a founder of the FFAutomaton open-source community he applies automation to personal finance tooling, blending product thinking with systems engineering. His background in Cognitive Science and Industrial Engineering informs a data-driven, human-centered approach to ML feature design and validation. Based in Ankara, he thrives where technical depth meets strategic business outcomes, especially in latency-sensitive and geospatial domains.
11 years of coding experience
11 years of employment as a software developer
Antalya Yusuf Ziya Öner Fen Lisesi
Antalya Anadolu Lisesi
Master of Science (M.Sc.), Cognitive Science, Master of Science (M.Sc.), Cognitive Science at Orta Doğu Teknik Üniversitesi / Middle East Technical University