Nikola Milosevic
Technical Ecosystem Owner at The Institute for Artificial Intelligence of Serbia
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolNikola Milosevic is a Berlin-based Technical Ecosystem Owner and PhD computer scientist with 12 years of experience building scalable NLP, ML, and GenAI platforms for pharma and research. At Bayer he architects agentic AI workflows, LLM-powered clinical and regulatory tools, and cross-disciplinary knowledge graph and NER systems while leading efforts to reduce hallucinations and enable verifiable RAG pipelines. He combines early-career software engineering and security experience with deep research in text mining, biomedical NLP, and parameter-efficient LLM fine-tuning, and he now directs multi-agent, multi-omics discovery initiatives. An open science and OWASP veteran, he has a strong track record mentoring open-source projects and cultivating internal AI communities across industry–academic networks. Colleagues describe him as a hands-on scientist-leader who turns cutting-edge research into production-grade, auditable AI solutions.
13 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at The University of ManchesterMaster of Science (M.Sc.) Computer Science, Master of Science (M.Sc.) Computer Science at University of Belgrade, School of Electrical Engineering9. Beogradska Gimnazija "Mihailo Petrovic Alas"
Serbian, English, Slovak, Czech, French, German
Github Skills (111)
python10
security10
masking10
yahoo10
information-extraction10
mistral-7b10
pandas10
owasp10
api10
xml-parsing10
rule-based10
android-application10
nlp10
yahoo-finance-api10
database10
Programming languages (7)
Github contributions (5)
nikolamilosevic86/politic-bot
Mar 2014 - Jun 2017
Contributions:4 commits, 3 pushes in 3 years 4 months
nikolamilosevic86/TabInOut
Apr 2016 - Apr 2019
Framework for information extraction from tables
Contributions:2 releases, 141 commits, 136 pushes in 3 years
information-extractiontable-information-extractionliteraturetext-miningwizard-steps
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