Ulysse Auplat

I’m a Computer Science MSc student at the University of Milan, focused on turning complex data problems into reliable systems. My background spans Software Engineering, Data Structures & Algorithms, Operating Systems, Networks, Cloud Computing Technologies, Distributed Systems, and DataAnalysis.

In my NUDD laboratory data analyst internship (Apr 2025 – Jun 2025), I analyzed over 300 bank reports from 1945 to 2023 using statistical methods and lexicometry with IraMuTeQ. I also highlighted the emergence and evolution of corporate social responsibility (CSR) values in banks.

I translated insights into usable tooling by developing a Flask-based web platform with a SQLite backend to manage reports and visualize analysis results. I also automated CSR analysis generation using the OpenAIAPI.

On the engineering side, I built a Real-Time Near-Duplicate Comment Detection System: I designed a high-availability Kafka cluster for fault tolerance and at-least-once processing. Using LSH with MinHash, AWS S3, PostgreSQL, and a FlaskAPI/dashboard for monitoring, I engineered a system capable of processing 60 comments/sec on 1M comments.