Curriculum Vitae

Professional Experience

AI Engineer

• Developed AI-driven data pipelines, automated dashboards, and knowledge-graph systems using LangChain and Neo4j for personalized student feedback.

• Built LLM-powered applications for error classification, feedback generation, and adaptive learning analytics.

• Coordinated international research collaborations between Italy and Kenya to advance digital education technologies.
  
  

AI-Powered Educational Feedback Assistant — PhD Project

• Designed and deployed a Streamlit-based AI system to analyze student performance and learning errors.

• Built dashboards for grade distribution, question difficulty, and error-type patterns.

• Integrated LLMs to generate personalized feedback and support secure dataset uploads.
  
  

AI-Powered Student Mistake Analyzer — PhD Project

• Created an AI web application using advanced LLMs to automate mathematical error analysis.

• Applied Newman’s Error Analysis (NEA) to classify reading, comprehension, transformation, and encoding errors.

• Added CSV upload, context customization, and instant visualization features.
  
  

Interactive Quiz Math System — Educational Technology Project

• Developed an interactive digital quiz system for mathematics with automated grading and adaptive question delivery.

• Integrated dynamic scoring logic, step-by-step feedback, and randomized item generation to improve assessment reliability.

• Implemented real-time analytics for educators, enabling monitoring of performance trends and common error types.
  
  

AI-Enhanced STACK Assessment Platform

• Built a full-stack, containerized learning platform combining quizzes, AI-generated hints, and automated scoring.

• Automated STACK XML feedback generation with LLMs to improve scalability and user experience.

• Implemented REST APIs, secure authentication, and a responsive JavaScript frontend.
  
  

Supply Chain Analytics Dashboard — Personal Project

• Developed a Node.js + Flask dashboard for real-time logistics and revenue forecasting.

• Integrated predictive ML models and dynamic visualizations with Chart.js.

• Enabled efficient backend–frontend data exchange using Axios.

Education

Ph.D. in Applied Data Science and Artificial Intelligence
University of Trieste, Trieste, Italy (2023 – Present)
Ph.D. Project: STACK – Machine Learning Techniques for Adaptive Mathematics in Higher Education..

Ph.D. in  Pure Mathematics
Maseno University, Kenya, (2020, Not completed)
Ph.D. Title: Derivations and norms of tensor products of C*-Algebras 

M.Sc. in Computational Mathematics
Jomo Kenyatta University of Agriculture and Technology (PAUSTI), Juja, Kenya (2017 – 2019)
Thesis: Effect of Variable Viscosity on Unsteady Natural Convection Hydromagnetic Fluid Flow Over an Isothermal Sphere in a Rotating System.

B.Sc. in Mathematics and Information Technology
École Normale Supérieure de Natitingou (ENS), Natitingou, Benin (2010 – 2013)