Fariol Blondeau

Lead the architecture, development, and deployment of an AI-powered African job marketplace built around WhatsApp. Design AI-driven job and talent matching using machine learning, embeddings, vector search, Qdrant, and an Interest Graph.

Built an AI-powered data intelligence system that collects public web data with Apify scrapers, orchestrated by Apache Airflow, then uses LLMs to analyse content and predict sentiment and reputation trends. Implemented embedding-based semantic search and deduplication with FastEmbed.

Led frontend development of a cross-border payment platform for money transfers and service payments, building the payment flows end to end. Built admin portals and dashboards to monitor transactions, users and platform activity.

Mentored junior developers through real software projects over six months, guiding them from requirements and architecture through to delivery. Reviewed code and ran debugging sessions, teaching TypeScript, testing, Git workflows and clean-architecture practices.

Converted Figma designs into responsive, pixel-perfect websites and landing pages with HTML and CSS, working closely with designers. Ensured cross-browser compatibility and consistent layouts across devices.

Certified in vector search technology with hands-on experience applying Qdrant for efficient similarity search and recommendation systems. Completed certification exams based on official Qdrant documentation and courses.

Completed a certification in Supervised Machine Learning, developing Python-based models for prediction and classification using NumPy and scikit-learn. Applied regression techniques to analyze data and derive actionable insights.

Developed expertise in unit testing, continuous integration, and code quality enforcement for large-scale UI projects. Gained hands-on experience with Vitest, GitHub Actions, ESLint, Husky & Lint-Staged, as well as component and accessibility testing using Axe.

Bachelor's degree in Mathematics and Computer Science with a strong foundation in object-oriented programming, data analysis, and advanced algorithms. Final-year project focused on Gröbner bases and computational algebra.