Welcome¶
Wassim here, i'm a passionate ML Engineer specialized in optimizing LLM applications.
What I Do¶
I work at Iadvize Paris on LLM & RAG systems at production scale. My work includes, building evaluation, observability, optimizing retrieval, and developing the use of agentic systems.
Through all the improvements in my company, we've achieved and measured 20%+ performance gains through a consistant & scientific methodology.
At Iadvize we are building ai assistants for e-commerce handling 100K+ conversations per day, connecting 1M+ users with 10M+ products.
Experience Highlights¶
- 5 years delivering production Data/ML solutions.
- Built RAG systems at scale
- Migrated AI workflows to agentic architectures, improving quality and generalisation.
- Kaggle Silver Medal (Top 5%) in NFL Helmets Detection competition
What You'll Find Here¶
I share practical lessons from building production AI systems. The kind of insights that save you hours of debugging and help you ship better models faster.
Topics I write about:
- RAG Systems - Real-world patterns that actually work at scale
- LLM Optimization - Tricks to improve quality without breaking the bank
- Evaluation & Observability - How to measure what matters
- Vector Search - Beyond the basics of embeddings and retrieval
- Agentic Systems - When to use them (and when not to)
- Math - My passion, where i build my intuition about stuffs
No fluff, just things I wish I knew earlier.
Why ?¶
Writing helps me think clearly and solidify what I've learned. It's primarily for myself, but if it helps others along the way, that's even better.
Education¶
CentraleSupelec - Master in Computer Science with major in Applied Mathematics, Data Science and AI
Lycée Louis Le Grand - Elite preparation to engineer entrance exams. Focused on maths & physics.