Louis Fippo Fitime

Defined and executed the company’s technology strategy aligned with business goals in the fields of Gaming, Fintech, and Telco VAS across emerging markets. 🔹 Led the end-to-end development of Connect’s product ecosystem, including a secure Payment Gateway, a powerful Gaming Management Studio, and a modular Digital VAS Integration Hub (USSD, SMS, APIs). 🔹 Architected and deployed a unified payments platform integrating mobile wallets, local PSPs, and operator billing with real-time transaction monitoring and wallet management. 🔹 Launched and scaled the Gaming Management Studio, enabling full back-office control for gaming operators: user management, bet tracking, jackpot configuration, retail & online distribution, and live dashboards. 🔹 Implemented bank-level security standards (VPN tunnels, end-to-end encryption, PCI-DSS compliance) to ensure trusted integrations with TELCOs and financial institutions. 🔹 Built and managed high-performing tech teams across frontend, backend, DevOps, and QA, adopting agile methodologies and continuous integration/delivery workflows (CI/CD). 🔹 Worked closely with telcos and regulators to ensure seamless onboarding and integration of Connect’s services into local operator environments. 🔹 Pioneered innovation in AI, analytics, and digital marketing automation, driving user engagement and conversion for gaming campaigns in low-bandwidth environments. 🔹 Oversaw cloud infrastructure deployment (AWS, GCP) and led technology decisions that ensure scalability, high availability, and compliance across regions with varied connectivity.

Teacher-researcher at National Advanced School of Engineering of University of Yaoundé I, I hold a Ph.D. in Computer Science. I am a specialist of Formal Methods, Artificial Intelligence, and Data Science. I am in charge of teaching Computer Science, Formal Methods, Artificial Intelligence, Data Science. Teaching : - Data science (Introduction to data science, Data Science methodology, Python for Data Science & AI, DB & SQL for Data Science, Statistics & Probability, Data Analysis, Data Mining) - Machine Learning (Introduction to Machine Learning, Regression, Classification, Clustering & Structure discovery, NN & DL Introduction) - Deep Learning & Advanced Machine Learning (Deep Learning, Bayesian Methods for ML, Reinforcement Learning, Computer Vision, NLP & NLU) - Introduction to Artificial Intelligence (Logic and Formal Reasonnig)

As the Chief Technology Officer at Smarteis, I play a pivotal role in shaping and executing the company’s technology vision, leading the development and deployment of scalable, AI-driven solutions designed specifically for the realities of emerging markets. At the heart of this mission is our Retail product line—a suite of intelligent retail management systems tailored for high-demand environments such as mining, oil & gas, logistics hubs, and remote infrastructure projects in Africa, the Caribbean, and Latin America. 1. Technology Vision & Leadership Define and evolve Smarteis’s tech strategy in alignment with business growth. Promote a culture of innovation across the engineering and product teams. Anticipate tech trends and ensure Smarteis remains at the forefront of smart retail and enterprise systems. 2. Retail Product Innovation Lead the architecture and development of the Retail Intelligence Platform. Ensure platform scalability, security, offline capabilities, and mobile-first experiences for remote field operations. Integrate IoT, AI, and real-time analytics to power automated inventory, sales tracking, and predictive supply chain tools. 3. Customer-Centric Engineering Design retail products that solve real-world problems faced by teams in isolated or logistically complex environments. Collaborate with mining and energy sector clients to adapt features to their operational realities (multi-site deployments, multilingual interfaces, low-bandwidth support). 4. Technical Team Building Recruit, mentor, and scale a diverse engineering team passionate about building tech for good. 5. Partnerships & Integrations Develop and manage integrations with third-party systems: mobile payment solutions, and local logistics providers. Represent Smarteis in technical discussions with strategic partners and public institutions. Strategic Objectives for the Retail Domain Accelerate digital transformation in field-based retail operations for industrial clients.

Modélisation, analyse et vérification formelle des systèmes biologiques paramétrés. -Formalisation des bases de données biologiques (KEGG, BIOMODELS) -Utilisation des automates temporisés/hybrides -Vérification des propriétés et inférence des paramètres

Modélisation hybride, analyse et vérification des grands réseaux de régulation biologique. -Modélisation des réseaux de régulation biologique par des réseaux d'automates stochastiques. -Raffinement de la dynamique par l'intégration des données quantitatives (délais ) estimées des données de séries temporelles. -Analyse de la dynamique par analyse des traces d'exécution des composants. -Vérification des propriétés quantitatives (probabilité, temps) de la dynamique par analyse statique. -Introduction, définition, formalisation de la notion de bifurcation (transition entraînant la perte de capacité d' un système, par exemple la différentiation d' une cellule souche dans un sous type cellulaire plutôt que dans un autre) dans les réseaux de régulation biologique. -Identification des bifurcations en combinant à la fois les méthodes d'analyse statique et la programmation logique.

Reconstruction des génomes ancestraux: du nucleotide au caryotype. -Proposer des modèles d évolution des génomes en prenant en compte différentes échelles (du nucléotide au caryotype ) -Proposer des algorithmes de reconstruction des génomes ancestraux basé sur les modèles d' évolution proposés. -Mise en oeuvre et applications sur des cas d' évolution réels.

Dans le service du suivi et évaluation, j' ai eu les missions de collecter, traiter et intégrer les données épidémiologique nationales sur l' épidémie du VIH SIDA au Cameroun.