Aleksis Jonas Lesieur

AI-driven football analytics platform providing data analytics and performance insights for clubs, coaches and players. Specializes in data pipelines, machine learning, and sports analytics to transform large datasets into actionable decision-making tools.

Designed and implemented an ETL pipeline to scrape and process football data (players, clubs, leagues, and agencies) from the transfer market. Built backend services using Python and FastAPI, leveraging GraphQL for efficient large-scale data ingestion and processing. Developed a Next.js frontend and integrated backend APIs to support data-driven workflows. Architected and deployed cloud infrastructure on Google Cloud (Cloud Run, Compute Instances, Cloud Build, Buckets, and CI/CD pipelines) to automate data ingestion and processing. Implemented automated data normalization and entity assignment logic to maintain consistent relationships across datasets.

Web3 social infrastructure platform enabling on-chain identity, social graph, and developer APIs that enable apps to integrate feeds, follows, and engagement features. Focused on building scalable backend services and tooling for decentralized applications.