Modestas Filipavicius is an independent consultant and senior ML engineer with nine years of experience building robust evaluation frameworks, MLOps pipelines, and reliable generative AI systems from research to production. He has engineered automatic LLM judges that adapt to changing product specs and labels, and co-developed prompt-optimization tooling that closes the loop between evaluation and agent behavior. His background spans conversational AI at scale—designing dialogue managers, observability, and call-serving infrastructure—as well as bioinformatics and protein language modeling from earlier research roles. Based in Zurich, he blends deep domain expertise in ML and systems engineering with hands-on implementation in Python, Databricks, LangGraph, and Semantic Kernel. An attention to reproducibility and automated metric-driven workflows sets him apart: he focuses on making AI evaluation living, versioned artifacts rather than static reports.
9 years of coding experience
10 years of employment as a software developer
Biophysics, Biophysics at University of Washington
Bachelor of Arts (BA), Chemistry (Physics minor), Bachelor of Arts (BA), Chemistry (Physics minor) at Macalester College
International Baccalaureate, International Baccalaureate at Red Cross Nordic UWC
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of Technology
High School, International Baccalaureate, High School, International Baccalaureate at Didzdvario Gimnazija
Master of Science (MSc), Bioinformatics (D-INFK & D-BSSE), Master of Science (MSc), Bioinformatics (D-INFK & D-BSSE) at ETH Zürich
Automatic diagnosis code (ICD-9) assignment from doctor's notes
Contributions:6 PRs, 9 pushes, 1 branch in 2 years 3 months
notesdeep-learningmachine-learningicdicd-9
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Modestas Filipavicius - Independent Consultant at Periscoop