CV

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

[TO COMPLETE: degree, institution, years, thesis title and supervisor for each entry. This section is the one recruiters and admissions committees read first — do not leave it thin.]

Research experience

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

Professional experience

[TO COMPLETE: role, organisation, dates, and two or three achievements each. Include the Kentnix role with a concrete description of scope and outcomes.]

Publications

See the full list.

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.