Modestas Filipavicius

Zurich, Zurich, Switzerland
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Summary

👤
Senior
🎓
Top School
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.
code9 years of coding experience
job10 years of employment as a software developer
bookBiophysics, Biophysics at University of Washington
bookBachelor of Arts (BA), Chemistry (Physics minor), Bachelor of Arts (BA), Chemistry (Physics minor) at Macalester College
bookInternational Baccalaureate, International Baccalaureate at Red Cross Nordic UWC
bookMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of Technology
bookHigh School, International Baccalaureate, High School, International Baccalaureate at Didzdvario Gimnazija
bookMaster of Science (MSc), Bioinformatics (D-INFK & D-BSSE), Master of Science (MSc), Bioinformatics (D-INFK & D-BSSE) at ETH Zürich
languagesLithuanian, German, Russian, English
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Github Skills (46)

pytorch10
python10
machine-learning10
llm10
audio10
natural-language-processing10
nlp10
machine-learning-models9
transformers9
multimodal9
inference9
deep-learning9
speech-recognition9
gemma9
transformer9

Programming languages (8)

CSSFregeGoZigHTMLJupyter NotebookPythonKotlin

Github contributions (5)

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Contributions:13 commits, 7 pushes, 1 branch in 6 months
mfilipav/auto-diagnosis

Jul 2020 - Oct 2022

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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