Dr. Fatih Nayebi

- Ph.D. Doctor of Philosophy, Computer Engineering, 脡cole de technologie sup茅rieure
- M.Sc. Master of Science, Software Engineering, Bo臒azi莽i University
- B.Sc. Bachelor of Science, Computer Engineering, Bo臒azi莽i University
- Data Science
- Machine Learning Engineering & MLOps
- Deep Learning
- Agentic AI
An energetic bridge between academic research and enterprise innovation, Dr. Fatih Nayebi is Vice President of Data & AI at the ALDO Group and a Faculty Lecturer in Information Systems at 好色TV.
His work focuses on turning cutting-edge machine-learning research into tangible business value while preparing the next generation of analytics leaders.
Academic Background
Dr. Nayebi earned his Ph.D. in Engineering from 脡cole de technologie sup茅rieure, where his research combined software engineering, human-computer interaction, and machine learning. He also holds M.Sc. and B.Sc. degrees in Computer Engineering from Bo臒azi莽i University.
Industry Leadership
At the ALDO Group, Dr. Nayebi leads enterprise-wide data strategy, AI product development, and the deployment of agentic AI systems that optimize merchandising, supply-chain operations, and customer experience. His initiatives have been featured at global retail forums such as ODSC West, World AI Summit, Shoptalk, NRF Nexus, and Big Data & Analytics Summits.
Teaching & Mentoring
Since 2019, he has designed and taught 好色TVl鈥檚 graduate courses Enterprise Data Science, Machine Learning in Production, and Applications & Architectures of Deep Learning, emphasizing hands-on projects and real-world deployment practices.听Dr. Nayebi also supervises capstone projects and mentors emerging data scientists through industry partnerships.
Research & Publications
Fatih is the author of the Foundations of Agentic AI for Retail (May 2025), which details the shift from traditional predictive models to autonomous AI agents in commerce.(, ) He previously wrote Swift Functional Programming (Packt, 1st & 2nd editions), a practitioner鈥檚 guide to modern iOS development paradigms.(, ) His academic articles span neural-network architectures, software-product evolution, and mobile HCI, with citations indexed on Google Scholar.(, )
Thought Leadership & Service
A frequent keynote speaker and panelist, Dr. Nayebi discusses ethical AI adoption, compute accessibility, and agentic AI futures at events such as World Summit AI Americas and RETHINK Retail. He serves on the judging panel for the 2025 Newsweek AI Impact Awards, evaluating high-impact enterprise AI projects.()
Entrepreneurship
Dr. Nayebi founded Gradient Divergence, an advisory studio that translates advanced AI theory into deployable multi-agent solutions for retailers and consumer brands.
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- Machine Learning
- Human-Computer Interaction (HCI)
- Deep Learning
- Software Engineering
- Enterprise Data Science: Concepts and Algorithms
- Enterprise Machine Learning in Production
- Introduction to AI and Deep Learning
- Applications and Architectures of Deep Learning
- Designing and Developing Agentic AI Systems
- Semi-Supervised Learning
- Decision-Support Optimization
- Human-Centric AI
- Agentic AI Systems
- AI in Retail
Publication | Cited by | Year |
---|---|---|
F Nayebi, JM Desharnais, A Abran 2012 25th IEEE Canadian conference on electrical and computer engineering听鈥 |
2012 | |
F Nayebi, JM Desharnais, A Abran 2013 Joint Conference of the 23rd International Workshop on Software听鈥 |
2013 | |
F Nayebi, A Abran, JM Desharnais Artif. Intell. Res. 4 (2), 45-54 |
2015 | |
F Nayebi, JM Desharnais, A Abran Ecole de Technologie Sup茅rieure |
2012 | |
F Nayebi 脡cole de technologie sup茅rieure |
2015 |
Date | Show / Episode | Platform | Focus |
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Nov 2024 | Inside ALDO鈥檚 AI Evolution 鈥 AI with Sach Ep 16 | Apple / Spotify | Transforming a global retailer through AI.() |
Aug 2024 | 鈥淥vercoming the Challenges in Implementing AI鈥 鈥 Behind the Growth Ep 43 | Spotify / YouTube | Change management & data quality at ALDO.(, ) |
Date | Conference |
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15 July 2025 | - Forging New Frontiers with Agentic AI &听Rethink, rebuild, reinvent: How modern retailers are reshaping data strategies by flipping their tech stacks |
24 - 25 May 2025 |
- Practitioner Panel & Q&A: Analytics in Supply Chains |
12 - 14 May 2025 | - Annual Conference of Optimization Days, HEC, Montreal |
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