Baturay Ofluoglu is a Machine Learning Engineer based in Leuven with over a decade of experience delivering ML and MLOps solutions from POC to production across startups and enterprise teams. He has driven data pipeline and model deployments in cloud environments, designed scalable MLOps frameworks, and contributed to open-source data-quality tooling such as soda-core where he helped enable automated monitoring and anomaly/schema checks. Comfortable with both research-grade modeling and production back-end engineering, he has a track record of turning applied research (e.g., POS location optimization, anomaly detection for manufacturing) into operational systems. With an MS in Computer Science (Data Science) and hands-on roles at dataroots, Soda and dploy.ai, he pairs strong implementation skills with a knack for improving observability and robustness in ML workflows. An exchange background and diverse early-career roles hint at a pragmatic, cross-disciplinary approach to problem solving.
10 years of coding experience
7 years of employment as a software developer
Master of Science - MS Computer Science : Data Science, Master of Science - MS Computer Science : Data Science at University of Antwerp
Bachelor of Science - BS Industrial Engineering (Major) - Computer Science (Minor), Bachelor of Science - BS Industrial Engineering (Major) - Computer Science (Minor) at Özyeğin University
Exchange Semester, Exchange Semester at QUT (Queensland University of Technology)
İstanbul Özel Saint-Joseph Fransız Lisesi / Lycée Français Privé Saint-Joseph d'Istanbul
:zap: Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io
Role in this project:
Back-end Developer & Data Engineer
Contributions:65 reviews, 51 commits, 70 PRs in 8 months
Contributions summary:Baturay primarily contributed to implementing and improving automated monitoring features within the soda-core scan functionality. They worked on integrating and enabling automated monitoring for schema and anomaly detection checks. Their contributions involved modifying core scan logic, creating automated monitoring executors, and integrating with Soda Cloud for improved insights. The user also addressed several issues, including fixing warnings related to automated monitoring and the handling of historic measurements.
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Baturay Ofluoglu - Machine Learning Engineer at dataroots