Gábor Szegedi
Head Of Data & AI
Budapest, Hungary
Summary
👤
Senior🎓
Top SchoolGábor Szegedi is a Head of Data & AI based in Budapest with 11 years of engineering experience, blending hands-on machine learning research and production-grade software delivery. He has progressed from Java backend development and teaching roles to leading AI teams that design LLM integrations, feedback-analysis tooling, and scalable ML pipelines. At Morgan Stanley he turned research signals into profitable, low-latency production systems, and more recently drove LLM-focused architecture and model optimization as an AI lead. Known for technical rigor, TDD and careful code reviews from his Oracle days, he pairs strong leadership with deep problem-solving across languages and domains. Recruiter-facing and machine-learning–focused, he uniquely balances prompt engineering, fine-tuning and model distillation with pragmatic system design.
11 years of coding experience
12 years of employment as a software developer
Master of Science (MSc), Computer Software Engineering, Master of Science (MSc), Computer Software Engineering at Eötvös Loránd UniversityBachelor of Science (BSc), Computer Software Engineering, Bachelor of Science (BSc), Computer Software Engineering at Debreceni Egyetem
English
Github Skills (73)
mining9
python9
deep-learning9
flask9
machine-learning9
toolbox8
react8
tensorflow8
data-science8
random-generation7
neural-network7
cpp7
robotics7
data-visualization7
analytics7
Programming languages (6)
Github contributions (5)
VSZM/Advent_Of_Code
Dec 2015 - Dec 2023
Contributions:55 pushes, 1 branch in 8 years 2 months
VSZM/ELTE_Adatbanyaszat_es_Gepi_tanulas
Feb 2020 - Oct 2020
Teaching material for introductary course about Data Mining and Machine Learning
Contributions:1 review, 28 commits, 1 PR in 8 months
pythonminingdata-scienceteachingdata-mining
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