Idriss Alaoui Amini

Refactoring of the FSADA file system analysis pipeline for AXA, migrating the main data processing from SQLite to Apache Parquet to improve performance and scalability.

- Migration of the 5-step ETL pipeline to Polars/Parquet, achieving a 10x performance improvement and a 93% storage reduction (3.7 GB → 357 MB for 10 million files).

- Rewriting the rule evaluation engine supporting complex boolean logic, regular expressions, and multi-field conditions.

- Implementation of a complete pytest suite from scratch (88 tests, 60% coverage) with validation by a reference dataset.

- Fixing critical bugs in size analysis and extension matching; modernizing the codebase while maintaining backward compatibility.

Technologies: Python, Polars, Pandas, Apache Parquet, pytest, openpyxl, multiprocessing, Git

Python developer within the quantum team at Eviden. We are working on a quantum computing software suite. The product allows working on quantum machine emulators as well as hybrid simulation algorithms (classical + quantum). The product is a significant software suite requiring great rigor in development and a sustained pace of updates:

- Implementation and maintenance of algorithms, development of distributed versions adapted to high-performance computing for simulators.

- Code maintenance, unit tests

- Generation of documentation

Enerka is a consulting firm specializing in hydrogen.

To leverage data and make analysts' work even easier, it was decided to create an application to group data into databases for updating and commercialization. The mission tasks are as follows:

- Management of a team of two developers (apprentices)

- Creation of a project and application with Django

- Development of database models

- Implementation of unit and functional tests

- Use of GitHub Actions for continuous integration

- Reflection on the valorization and visualization of hydrogen projects at the French level