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Bono Mbelle AurelienBM

Bono Mbelle Aurelien

Machine Learning Engineer-Data scientist-Backend

€125/day
Yaoundé, CM
3-7 years

Average response time: 1 hour

About Bono

Ingénieur Machine Learning et Data Scientist, j'accompagne les entreprises dans la conception de modèles prédictifs, l'analyse de données complexes et le développement backend (Python, Django, FastAPI). Je travaille sur des projets IA de bout en bout : collecte, traitement, modélisation, API et déploiement en production.
  • French

    Native or bilingual

  • English

    Conversational

Remote only
Primarily works remotely

Experience

  • Ubix Yaounde Cameroon
    Machine Learning Engineer
    August 2024 - Today (1 year and 10 months)
    Designed and developed two VTC (Ride-Hailing) and vehicle rental platforms, integrating machine learning-based optimization and recommendation algorithms. Implemented a web scraping system to gather legal data from African countries in the Francophone zone, focusing on extracting and structuring legal information for analysis and predictive modeling. Developed a real estate sales and rental platform, incorporating price forecasting models and market trend analysis using supervised learning techniques. Currently working on the development of an intelligent search engine based on medical data, integrating Natural Language Processing (NLP) and machine learning techniques to enhance search capabilities and access to medical information.
  • Zeguild.io
    Freelance Machine Learning Engineer
    September 2024 - Today (1 year and 9 months)
    Designed and fine-tuned personalized agents and prompt engineering for e-commerce platforms to enhance sales and customer interaction through tailored AI-driven solutions. Contributed to a project involving a RAG (Retrieve and Generate) system for a company with a library of audiobooks, PDFs, and ePubs, focusing on content extraction and optimization. Worked on EPUB processing, including content extraction and integration with audio data to facilitate multimedia content accessibility. Implemented a minimalist RAG system for a dataset of 1000 books, with the goal of scaling it to handle larger volumes efficiently, ensuring optimal performance for future scalability.
  • VISIONLIT
    AI Developer Advocate
    September 2023 - August 2024 (11 months)
    Development of a facial recognition algorithm combining several CNN methods Present an overview of Vision Lit's functionalities, including object detection, black and white mask generation, and transparent mask generation. Identity card information extraction Help developers understand and integrate Vision Lit's advanced features into their projects by creating a detailed technical synthetic data generation for startups wishing to experiment tabular data

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Education

  • Bachelor's degree in fundamental computing
    University of Douala
    2022
    Bachelor's degree in fundamental computing

Skill set

Categories