I’m Leo Weiss, an AI engineer from Paris. Specialized in retrieval-augmented generation, LLM evaluation, and production data pipelines, I build AI systems that stay reliable once real users reach them.
With a Specialized Master’s in Data & AI from Télécom Paris and an MSc in Data for Finance from Mines Paris – PSL, I started in aviation analytics at Air France, moved into AI engineering at Edmond de Rothschild Asset Management, and join Boston Consulting Group this September. I also build visualization tools for embedding spaces and model behaviour in my free time.
Boston Consulting Group
Building data pipelines and AI-driven analytics tooling for brand and campaign performance work.
Edmond de Rothschild Asset Management
Two years building and shipping LLM applications over financial and ESG knowledge.
Air France
Cost optimization on the B777 fleet, from raw maintenance data to €1.5M in annual savings.
Télécom Paris
Coursework: relational & non-relational databases, cloud computing, statistics and statistical learning, advanced ML, GenAI & deployment, MLOps, web scraping & NLP, and the legal/regulatory layer.
Mines Paris – PSL
Joint degree with Albert School. Statistics & econometrics, machine learning, market finance, asset valuation, algorithmic trading, quant development, time series, and data engineering. GPA 3.7/4.
ESME
Physics, mathematics, statistics & probability, programming, and aeronautics engineering. GPA 3.7/4.
Vilnius Gediminas Technical University
Aerodynamics, aircraft structures and engines, and human factors. GPA 4/4.
OpenAI Forum
Albert Quant Trading Club (AQTC)
Albert Junior Consulting (AJC)
What tokenizer vocabularies were spent on, and what they weren’t — a measurement study of 204 languages across 8 tokenizers.
A 3D semantic space explorer — UMAP-projected word embeddings you can fly through.