Bruno Gonçalves turns LLM guesswork into measured engineering.
I earned a PhD in the Physics of Complex Systems in 2008 and held a tenured faculty position at Aix-Marseille Université and served as a Data Science fellow at NYU’s Center for Data Science before moving to Industry.
Now I consult in Generative AI, Machine Learning, and Blockchain Analytics.
The teaching runs through it all. I run corporate trainings, and my published video courses cover NLP, data visualization, and time series analysis. My newsletter, Data For Science, reaches 4,000+ subscribers, and every post ships with a working notebook.
In my sessions, every claim gets a number. You leave with code that runs on Monday morning.
Courses
Multi-day, guided programs to get real results
Workshops
Single-day, hands-on sprints to practice new skills
Lightning Lessons
Free, interactive sessions to explore new topics
Jev in One Call
Can You Trust Jev's scores?
Gate Your Agent in 100 ms
Stop Bad Merges with an LLM Eval Gate
Put Error Bars on Your LLM Metrics
Prove Your Prompt Change Actually Helped
Services
AI Product Ship-Readiness Audit
One day. Your codebase. The three things actually keeping you from launch — with the evidence to prove it.
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Move Your LLMs from Prototype to Production
Stop wrestling with unreliable demos. Build, evaluate, and harden enterprise-ready RAG and Multi-Agent systems
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