CV

Education

• M.Sc. in Computer Engineering, Artificial Intelligence & Machine Learning, National Advanced School of Engineering of Yaoundé (ENSPY), GPA: 3.0/4.0, High Distinction
  • Thesis: “Design and Implementation of a Computer Vision Solution for Security and Surveillance in a Smart City”
• Master 1 in Physical Sciences (M2 in progress), University of Dschang
• B.Sc. in Physics, University of Dschang, First Class Honours
  • Specialisation: Computational Physics & Numerical Simulation
  • Capstone: “Monte Carlo Simulations for Particle Physics Applications using C++ and Python”

Research Experience

• May 2026 to Present: Research Fellow
  • Fatima Institute for Global AI Research (Remote)
  • Conducting research on synthetic MRI generation: generating T1CE MRI images from non-contrast sequences (T1, T2, FLAIR) using diffusion models and flow matching
  • Comparing 2D slice-based and 3D volumetric approaches; evaluating with SSIM, PSNR, FID metrics
• 2026: Co-Lead Researcher
  • GIK-IceChain, ECMWF Code for Earth Challenge 41 (Remote)
  • Developed cloud-native pipeline enabling access to >1PB of ECMWF IFS ensemble forecast data
  • Implemented probabilistic flood risk modeling across 11 East African countries
• 2026: Independent Researcher
  • PIGNN-UQ, University of Dschang (Remote)
  • Developed Physics-Informed GNN for power transformer fault diagnosis using DGA
  • F1-score improved from 0.16 to 0.61 through physics-informed inductive bias

Industry Experience

• November 2025 to Present: SI Engineer / Data Scientist
  • Orange Cameroon, Douala
  • Leading data and analytics for NextGen: migration of Orange Money platform to Huawei Mobile Money
  • Data migration strategy, quality controls, validation pipelines for high-volume financial data
• January 2025 to October 2025: Lead Machine Learning Engineer
  • DME Systems, Douala
  • Built GPU-accelerated recommender systems (NVIDIA Merlin) for sports betting platform
  • Designed multi-agent systems for live betting decision-making; led team of 2 Data Scientists
• July 2024 to December 2024: Machine Learning Engineer
  • AI Technologies for Africa (AITECAF), Yaoundé
  • GNN models (GCN, GAT, R-GCN) for public procurement fraud detection in Cameroon
• January 2023 to July 2024: Lead ML & Computer Vision Engineer
  • SmartDS, Yaoundé
  • Real-time video stream analysis framework; autonomous drone delivery system

Teaching Experience

• February 2024 to April 2024: Teaching Assistant, Machine Learning
  • National Advanced School of Engineering of Yaoundé (ENSPY), Yaoundé
  • Course: Machine Learning for first-year Financial Engineering students (3GIFA, first year of the engineering cycle)
  • Led laboratory sessions, designed and graded assignments, and mentored applied projects in credit scoring and financial forecasting
• October 2023 to April 2024: Instructor, Machine Learning & Python
  • ICT University, Yaoundé (Melen)
  • Designed and taught a hands-on curriculum from Python fundamentals to applied machine learning
  • Built the full syllabus, lectures, coding notebooks, and assessments; guided students through end-to-end ML projects

Technical Skills

• Machine Learning & AI
  • Deep Learning, Diffusion Models, Flow Matching, Graph Neural Networks, Computer Vision, NLP, RL, MLOps
• Scientific Computing
  • Physics-Informed ML, Monte Carlo Methods, Numerical Simulation, Probabilistic Modelling
• Programming
  • Python, C/C++, CUDA, Java, JavaScript/TypeScript
• Frameworks
  • PyTorch, PyTorch Geometric, TensorFlow, OpenCV, Qiskit, NVIDIA DeepStream/Merlin
• Cloud & DevOps
  • Docker, Kubernetes, CI/CD, AWS, Azure
• Databases & Data
  • PostgreSQL, MongoDB, Redis, Elasticsearch, Apache Spark, Zarr, GRIB2, Kafka, Airflow, Flink

Publications

Leveraging Machine Learning for Enhanced Financial Inclusion: Revolutionizing Agricultural Banking in Central Africa

Fokam Ninyim Astride Melvin, Vincess Dongmo. (2025). "Leveraging Machine Learning for Enhanced Financial Inclusion: Revolutionizing Agricultural Banking in Central Africa." OpenReview, Submission #120. CC BY 4.0.

CPU-Feature-Aware Virtual Machine Migration in Heterogeneous Environments

Vincess Dongmo, Tchudjing Ruben, Nguekeng Marc Donald, Ngom Mbock Michel, Tsanga Zo Onyaba, Nnange Akume. (2023). "CPU-Feature-Aware Virtual Machine Migration in Heterogeneous Environments." Preprint, Polytechnique Yaoundé.

Languages

• French: Native proficiency
• English: Professional working proficiency

Service and leadership

• Open-source contributor: GIK-IceChain, ECMWF Code for Earth Challenge
• Open-source contributor: PIGNN-UQ, Physics-Informed GNN