Work Experience

OAG (09/2024 - Present)

  • Productized an AI model for demand forecasting (Python, Tensorflow, MS Azure).
  • Crafted detailed reports for multiple proof-of-concepts.
  • Handled databases up to hundreds of TBs in size (Snowflake).
  • Maintained and created (Py)Spark pipelines (Databricks).

Instant System (08/2022 - 09/2024)

  • Researched AI applications to transport-related software solutions.
  • Initialized and developed AI-powered search engine combining NLP, language models, and vector databases.
  • Collaborated with a team of 5 PhDs on research and experimentation, including a proposition to the Deutsche Bahn’s Mindbox Challenge.

Education

Master of Science in Data Science & Artificial Intelligence
DSTI, Biot, France (09/2022 - 08/2024) — GPA: 95/100

Bachelor’s in Economics and Management
Université Côte d’Azur, Nice, France (09/2019 - 06/2022) — GPA: 15/20

Projects

Hierarchical Navigable Small World (HNSW)
Implemented the HNSW algorithm for vector databases in Rust based on the original paper. Available on GitHub.

Skills

Technical: AI, ML, PySpark, Python, Rust, Snowflake, SQL, Tableau, Tensorflow
Languages: English (C2), French (C2), Spanish (Native)