CV
Education
- M.Sc Bihar in Big Data and Artificial, Ecole Supérieure des Technologies Industrielles Appliquées (ESTIA), Bidart, France, 2026 (expected)
- M.Eng in Telecommunications, National Advanced School of Posts, Telecommunications and ICT (SUP’PTIC), Yaounde, Cameroon, 2020, "Development of a method for meteorological prediction in tropical areas using Machine Learning: case of Yaoundé", advised by Dr. Aurelle Tchagna
- Bachelor in Telecommunications, National Advanced School of Posts, Telecommunications and ICT (SUP’PTIC), Yaounde, Cameroon, 2018
Skills
- API Development: Flask, Fast API, Spring Boot
- Database: MongoDB, PostGreSQL, Elastic Search
- Distributed Systems and Big Data: PySpark, MQTT, Kafka
- Embedded Systems: Arduino, Raspberry Pi
- Frameworks Machine and Deep Learning: Pytorch, TensorFlow, Scikit-learn
- MLOps: Mlflow, Prefect, Grafana, Git, Docker, Makefile
- Network Simulators: Mininet, Cisco Packet Tracer
- Programming Languages: Python, Matlab, SQL
- Frameworks WebScraping: Beautiful Soup, Selenium and Scrapy
Work experience
- 09/2022 - 09/2025 : Consultant Data Scientist at Inchtechs, Yaounde, Cameroon
- Built a machine learning model to predict raw material prices (pale malt, maize grits) for a brewing company
- Developed a machine learning model to predict the optimal timing for publishing revocation certificates, based on log data
- 01/2022 -: Telecommunications Engineer at Ministry of Posts and Telecommunications (MINPOSTEL)
- Authored the project document outlining the development of an AI Assistant tailored to MINPOSTEL’s needs
- Member of the Scientific Committee of the National Consultation on Artificial Intelligence (CONIA) held on from 25 to 26 June 2024
- Member of the Scientific Committee of the Central Africa Internet Governance Forum (AC - IGF) held on from 30 August to 01st September 2023
- 01/2021 - 01/2022: Artificial Intelligence Intern at Inchtechs, Yaounde, Cameroon
- Developed Python APIs
- Trained participants on Machine Learning concepts during “Open Technology” workshops
- Built and deployed Machine Learning models
Summer Schools
Projects
Teaching
Certificates and awards
