Work Experience

LIFO – Laboratoire d’Informatique Fondamentale d’Orléans - Université d'Orléans (November 2021 – June 2025)
Orléans, Centre-Val de Loire, France

Doctoral research conducted within the ANR project AI.iO ANR-20-THIA-0017-01, titled: “Integrating Knowledge into Deep Architectures for Computer Vision”, as part of the CA (Constraints and Learning) research group.

Deep learning architectures have profoundly transformed artificial intelligence, particularly in the field of computer vision. However, they still pose several challenges: a lack of explainability, strong dependence on large annotated datasets, and difficulty in integrating explicit prior knowledge.

This PhD project explores the hybridization of deep neural networks with structured prior knowledge to improve the generalization capabilities of image classification models. The work is structured around three main contributions:

• A methodology for enriching datasets using auxiliary information in the form of rules, enabling the creation of evaluation benchmarks for knowledge-aware models—a gap still present in the research community.
• A novel learning approach integrating knowledge graphs into deep architectures through a hybrid loss function that combines cross-entropy with a distance metric in a knowledge-structured latent space. This allows the model to leverage the graph’s semantics to focus on harder examples.
• A concept-based classification framework that uses knowledge graphs both to model concept–class relations and to propagate information through graph nodes for high-level reasoning over concepts.

Skills: Python PyTorch TensorFlow Deep Learning Computer Vision Explainable AI (XAI) Knowledge Graphs Knowledge Representation & Reasoning Rule-based Reasoning Image Classification Dataset Annotation Data Enrichment Model Evaluation Scikit-learn Pandas Matplotlib Seaborn Project Management Research & Development (R&D) Collaboration Teamwork Technical Presentations Communication GPU SLURM

Université d'Orléans (March 2021 - October 2021)
Orléans, Centre-Val de Loire, France

Master’s internship on integrating expert knowledge into deep neural networks for computer vision.

Deep convolutional neural networks (CNNs) enable learning complex representations from large amounts of data, often with remarkable generalization performance. However, these models have limitations, notably their heavy reliance on large annotated datasets and their difficulty adapting to realistic or underrepresented contexts in the data.

To address these challenges, this internship adopts a hybrid approach combining deep learning and symbolic artificial intelligence. We propose an original method to integrate expert knowledge, represented as ontologies, into computer vision architectures. This knowledge is formalized as knowledge vectors and introduced into the network loss function via a regularization term.

Skills: Python Natural Language Processing PyTorch TensorFlow Computer Vision Deep Learning Communication Image Classification Supervised Learning GPU

ITMA – Institute of Advanced Technology (September 2018 – September 2019)
Yaoundé, Cameroon · On-site

As the Academic Director of a professional training institute in computer science, I was responsible for overseeing academic programs, managing student progress, and ensuring the alignment of training content with industry expectations. My role involved coordinating teaching activities and maintaining the quality and relevance of the curriculum in a fast-evolving technological landscape.

Main responsibilities:

• Designing and updating academic pathways based on industry-relevant skill frameworks
• Supervising and supporting the teaching staff (recruitment, mentoring, scheduling)
• Providing individual student guidance (academic progress, orientation, job placement)
• Monitoring technological trends and adapting course content to reflect digital innovations
• Serving as a liaison between the administration, instructors, and industry partners

This position allowed me to strengthen my skills in educational management, team leadership, and instructional design, while maintaining a strong technical foundation in computer science.

Skills: Educational Management Team Leadership Instructional Design Curriculum Development Project Coordination Teaching Communication Collaboration

Bee (CEO / Co-founder) (September 2014 – June 2018)
Yaoundé, Cameroon · On-site

As CEO and Co-founder of an e-commerce startup, I was responsible for both the strategic direction of the company and the full technical development of the platform, working on both the frontend and backend. This entrepreneurial venture allowed me to combine product vision, operational management, and technical expertise in web development.

Main responsibilities:

• Design, development, and maintenance of the e-commerce platform (frontend & backend)
• Implementation of the technical architecture (databases, servers, security, online payments)
• Management of commercial operations, logistics, and customer relations
• Development of digital strategy and user acquisition (social media, marketing campaigns)
• Product evolution supervision and feature prioritization
• Team coordination and partnership management (suppliers, service providers)

This role gave me a comprehensive understanding of the digital product lifecycle, strengthened my full-stack development skills, and provided solid experience in project management, digital marketing, and entrepreneurship.

Skills: Entrepreneurship E-commerce Full-Stack Development HTML/CSS JavaScript AngularJS PHP PhpMyAdmin SQL Backend Development Digital Marketing User Acquisition Team Management Project Management Collaboration Communication

Peniel Group (June 2014 – June 2016)
Yaoundé, Cameroon

As IT Manager at Peniel Group, I was responsible for both preventive and corrective maintenance of the company’s IT infrastructure, including hardware and software systems. My role also involved training employees on various technologies to ensure optimal use of digital tools and improve productivity.

Main responsibilities:

• Preventive maintenance and incident management for hardware and software systems
• Updating and securing IT systems and networks
• Installing, configuring, and monitoring equipment (computers, networks, printers)
• Training employees on tools and software to enhance efficiency
• Providing technical support and assisting teams in problem resolution
• Technology watch and continuous improvement of IT tools to meet company needs

This role helped me develop strong skills in IT infrastructure management, user support, and technical training, while contributing to the reliability and performance of the company’s information systems.

Skills: IT Maintenance System and Network Administration User Support Technical Training Hardware Management Office Tools Troubleshooting Technical Documentation