Ilyes Rezgui
Ilyes Rezgui
Ilyes is a Financial Project Analyst at Nokia with dual master's degrees in Data Science and Software Engineering. He specializes in AI research, formal verification, and RAG systems optimization.
Background
Current Role: Financial Project Analyst at Nokia, Budapest
Education: MS Data Science (ELTE), MS Software Engineering (ISI Tunisia)
Expertise
AI/ML and Generative AI
RAG Systems & LLM Applications
Formal Verification & Model Checking
Financial Analytics & Project Management
Notable Work
Co-authored research on design pattern detection using attention mechanisms (ECSA 2024), published guides on RAG optimization techniques, and leads performance analysis teams at Nokia. Ranked 1st in his Software Engineering master's program.
Ilyes is a Financial Project Analyst at Nokia with dual master's degrees in Data Science and Software Engineering. He specializes in AI research, formal verification, and RAG systems optimization.
Background
Current Role: Financial Project Analyst at Nokia, Budapest
Education: MS Data Science (ELTE), MS Software Engineering (ISI Tunisia)
Expertise
AI/ML and Generative AI
RAG Systems & LLM Applications
Formal Verification & Model Checking
Financial Analytics & Project Management
Notable Work
Co-authored research on design pattern detection using attention mechanisms (ECSA 2024), published guides on RAG optimization techniques, and leads performance analysis teams at Nokia. Ranked 1st in his Software Engineering master's program.
Ilyes is a Financial Project Analyst at Nokia with dual master's degrees in Data Science and Software Engineering. He specializes in AI research, formal verification, and RAG systems optimization.
Background
Current Role: Financial Project Analyst at Nokia, Budapest
Education: MS Data Science (ELTE), MS Software Engineering (ISI Tunisia)
Expertise
AI/ML and Generative AI
RAG Systems & LLM Applications
Formal Verification & Model Checking
Financial Analytics & Project Management
Notable Work
Co-authored research on design pattern detection using attention mechanisms (ECSA 2024), published guides on RAG optimization techniques, and leads performance analysis teams at Nokia. Ranked 1st in his Software Engineering master's program.
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We are more than happy to give a free demo
Copyright © 2023-2060 Agentatech UG (haftungsbeschränkt)
Need a demo?
We are more than happy to give a free demo
Copyright © 2023-2060 Agentatech UG (haftungsbeschränkt)