Curriculum vitae

Last updated July 2026.

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Profile

Software engineer and AI researcher working on deep learning for agriculture and health in data-scarce environments, with additional interests in multi-agent systems, robotics and AI safety. Published in peer-reviewed literature; active in competitive machine learning; fluent in both research and production engineering.

Education

PhD in Artificial Intelligence in progress, University of Ngaoundéré, School of Mathematics and Computer Sciences since 2023

Master in Computer Engineering, University of Ngaoundéré, School of Mathematics and Computer Sciences, 2012

Research experience

  • University of Ngaoundéré, School of Mathematics and Computer Sciences: Deep learning for crop monitoring and yield prediction; multi-modal remote sensing; satellite data infrastructure.

Professional experience

Research Officer Assistant, Ministry of Mines, Industry and Technological Development, 2025-present

Chief Technical Officer, Kentnix IoT, 2021-2025

Chief of Computer Unit, CAPAM (Project of Ministry of Mines, Industry and Technological Development), 2016-2021

Head of the Coordinator Support Service,CAPAM (Ministry of Mines,Industry and Technological Development) ,2013-2016

Publications

See the full list.

Management skills

Project management, Pulic Management; Strategic Management,Rixk Management

Technical skills

  • Languages: Python, Java, C#, PHP, JavaScript
  • Machine learning: TensorFlow, PyTorch, LightGBM, XGBoost, scikit-learn
  • Web and mobile: Spring, Laravel, Django, Flask, React, Flutter
  • Data and geospatial: Google Earth Engine, PostgreSQL, MySQL, pandas
  • Cloud and tooling: AWS, GCP, Git, LaTeX

Competitive machine learning

  • BirdCLEF 2026 — acoustic species identification, macro ROC-AUC ≈ 0.930
  • ROGII — wellbore geology prediction
  • Shadow-based geolocation from synthetic imagery
  • Knowledge tracing from tutoring transcripts (Third Space Learning / Eedi)

Languages

French and English.

References

Available on request.