About AI Codex

We build AI and Data Science solutions and help experienced practitioners move beyond copy-paste tutorials into genuine mastery — with the theory, intuition, and practice to build robust AI systems.

The Problem We're Solving

AI is a powerful tool. In the right hands, it can dramatically increase your output — but it's no longer just about execution.

The real value is shifting toward high-level thinking: knowing what to build, how to evaluate it, and when a solution is truly production-ready.

At AI Codex, we focus on both. We train people in hands-on AI execution and in the higher-level thinking needed across AI, Data Science, and software development.

AI Codex in Three Lines

Experience
In-depth, rigorous knowledge
Anchor everything in real-world use cases

Who Are We

First it was called Statistics, then Data Science, then Machine Learning, Deep Learning and now AI. We've been in this field for over 8 years. Our team combines teaching, engineering and applied data science.

Rick Vink

AI & Machine Learning

Master's in Physics with research at MIT. Has trained over 1,000 students in ML, Deep Learning, NLP and Python across 8+ years. Combines hands-on industry experience as an ML Engineer with a passion for making complex AI concepts truly accessible.

Sharvan Debi-Tewari

Software Engineering & DevOps

Goes to the bottom of every technical challenge. Specializes in scalable, maintainable solutions with Python, TypeScript, and Node.js. Driven by finding and implementing the best possible solution.

Saeed Katiraei

Data Science & AI

PhD from Leiden University Medical Center and Microsoft Certified trainer. Over 6 years of experience as a data scientist at organizations including CBR, IND, and De Jeugdautoriteit. Distills complex problems from diverse domains into clear, actionable solutions.

Our Vision

AI is reshaping every industry. To contribute meaningfully, you need more than quick results — you need grounded understanding. We want professionals to progress from capable implementers to confident builders who can explain decisions, quantify uncertainty, and design robust systems.

That's why AI Codex provides a path that scales with you: start with classical ML, then step into deep learning, generative modelling, and beyond with a firm foundation.

From the simple (linear regression) to the complex (LLMs and diffusion models), our goal is constant: increase understanding of machine learning.