À propos
Artificial Intelligence Research Engineer | Stochastic Modeling & Hybrid AI Systems | Open to PhD Opportunities | Co-Founder @Benin AI Community
💡 Conseil de carrière
Saisissez chaque occasion d’apprendre : c’est ainsi que naissent les grandes idées.
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Parcours professionnel
AI Developer
Namaryk concept
2026
Design and integrate artificial intelligence and automation solutions to optimize internal processes, enhance productivity, and develop visualization tools for clients. Key Responsibilities and Activities • Custom Tool Development: Creation of fast AI-powered 3D render generators and development of scripts to automate quotations and stock management. • Data Analysis: Leveraging customer data to personalize offers and identify trends that help improve the commercial strategy. • Integration and Maintenance: Implementation and maintenance of developed tools, along with training teams on their proper use. • Technology Watch: Continuous monitoring of innovations in architecture and design to propose cutting-edge solutions.
Research Assistant
CERMACH ( SUP’RH)
2025
Contributed to research projects focused on stochastic modeling and hybrid probabilistic–neural architectures for energy systems and smart infrastructure applications. My contributions include: • Participated in the development of hybrid Markov-based frameworks combined with Regularized Expectation–Maximization (EM) algorithms for smart grid optimization under missing data conditions. • Contributed to stochastic resource allocation modeling for sustainable smart city and 6G infrastructure systems. • Assisted in modeling smart city governance transitions using Hidden Markov Models and public IoT datasets. • Contributed to the design and evaluation of hybrid stochastic frameworks for wind power forecasting under real-world deployment constraints. These collaborative research efforts resulted in peer-reviewed publications (Springer Nature, Taylor & Francis) and international conference presentations.
AI Developer
Web4jobs
2025 - 2025
As part of the SOIPA project, I led the design and implementation of an AI-powered orientation system that predicts whether learners are more suited for employability or entrepreneurship based on psychometric responses. Main responsibilities and achievements: • Built and trained a machine learning model (Random Forest) to classify professional orientation using a custom dataset of over 1000 synthetic learner profiles. • Developed a Flask API to serve the model and handle user predictions securely and efficiently. • Created an interactive frontend interface with React to collect user data and display results dynamically. • Integrated Google Gemini API to deliver personalized coaching messages based on dominant traits. • Ensured full pipeline coverage: data preprocessing, scoring, model validation (cross-validation), deployment and monitoring. • Wrote the full technical documentation and designed an architecture for future scaling (database, authentication, analytics).
Data scientist - AI Engineer
Lydec
2025 - 2025
Implementation of a Large Language Model (LLM) for text generation and multi-label classification of word sequences to qualify customer complaints.
Analyste données commerciales
Laboratoires Pharmaceutiques GALENICA
2025 - 2025
Leveraging data to optimize strategic decision-making. I design interactive dashboards and conduct performance analyses using Power BI and SQL Server. I also automate processes to enhance operational efficiency and contribute to the integration of artificial intelligence solutions wi.
Statistician
Ministère du Numérique et de la Digitalisation du Bénin
2024 - 2024
As an intern statistician, I participated in the collection and cleaning of data from economic surveys, thereby completing my bachelor’s degree with a professional diploma in Economic and Sectoral Statistics. As part of this program, we prepared a thesis that applied statistical methods particularly Structural Vector Autoregression (SVAR) to model economic shocks within the WAEMU area and to propose synchronization policies aimed at making this economic zone more optimal.
Master's degree, DATA SCIENCE & AI
SUP'RH SCHOOL OF MANAGEMENT and ARTIFICIAL INTELLIGENCE
2024 - 2026
Formation académique
Bachelor of Science - BS Applied mathematics, Economy
Ecole Nationale d'Economie Appliquée et de Management (ENEAM)
2021 - 2024
Formation académique
Programmation et analyse statistique avec Rstudio , Statistique
Chaire Internationale de Physique et Mathématiques Unesco ( UAC)
2023 - 2023
Formation académique
Bachelor's Degree, Applied Mathematics
École Nationale d’économie appliquée et de management
2021 - 2024
Formation académique
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