Guillaume Sanje Mpacko, Ph.D.
Associate Professor
School of Science and Engineering (SSE), International University of Grand-Bassam (IUGB)
Dr. Guillaume Sanje Mpacko is an accomplished software engineering and Artificial Intelligence (AI) professional with more than two decades of combined industry and academic experience. His expertise spans full-stack software development, scalable cloud architectures, and AI Engineering with a strong passion for advancing next-generation innovation through education and mentorship.
Professional Experience
Dr. Mpacko has held research and development leadership roles at leading technology companies, including Microsoft, NanoString Technologies, and Wireless Advocates. He has successfully designed and deployed high-performance software systems and led cross-functional teams to deliver impactful, scalable solutions.
His recent work as an AI-Deep Learning Consultant at West 500 Partners focused on optimizing deep learning algorithms, fine-tuning pre-trained models, and integrating AI solutions into enterprise systems.
Certifications & Training
Dr. Mpacko brings additional strength as a certified AI specialist, with training in large language models, computer vision, cloud-based AI deployment, and cutting-edge transformer architectures from Microsoft Azure, IBM, and Coursera.
Education
- Ph.D. in Mathematics — Rutgers University, USA
- Doctorat de Troisième Cycle en Mathématiques — University of Abidjan, Côte d'Ivoire
Academic Experience
Dr. Mpacko has taught both graduate and undergraduate mathematics at the University of Michigan, with research contributions in harmonic analysis and group representation theory.
In 2025, Dr. Mpacko was appointed Associate Professor at the School of Science and Engineering at IUGB, where he is actively shaping the Applied Computing and Artificial Intelligence curriculum, fostering international partnerships, and helping position IUGB as a leading institution in Côte d'Ivoire's digital and engineering transformation.
Research & Development Interests
- Artificial Intelligence & Machine Learning
- Deep Learning & Neural Networks
- Computer Vision
- Large Language Models
- Cloud-Based AI Deployment
- Harmonic Analysis
- Group Representation Theory