United Kingdom
You see AI everywhere — in the news, in your company, in every job posting. And there's a voice in your head saying: "I'm falling behind." You've tried to keep up. You use ChatGPT. You've taken courses, maybe have a certificate. And yet when someone asks "what can you do with AI?", you don't have an answer. It's not your fault. The entire AI education industry is designed to sell you knowledge, not to help you build proof. The professionals who are actually getting ahead with AI (hired at top tech companies, getting promoted, leading projects), have one thing in common: they've built something real, a result that can be verified. I'm Miguel Fierro. I've spent 10 years at Microsoft building production AI. I'm the creator of Recommenders (20K+ GitHub stars, used by Fortune 500s) and 4x AI founder. After 10 years at Microsoft, I noticed a pattern nobody talks about: companies don't want people who know AI theory, they want people who build useful AI and leaders who can drive that transformation. At Microsoft, I watched this pattern again and again. The developer who shipped one real AI project got the offer over candidates with 10 courses on their resume. The business leader who automated one workflow got the promotion over colleagues who could only talk about AI. The gap is never knowledge. It's proof. - Developers don't need another tutorial, they need a deployed project, a clean GitHub repo, and a README that tells a story a recruiter can follow in 30 seconds. - Business professionals don't need to learn to code, they need one working AI workflow that saves time or makes money, and a case study that proves it. Now I help people bridge their careers to AI, by using a method called Reverse Learning: instead of months of theory first, you start by building and learn what you need along the way. Some people I helped: - Daniel Labbe: from Solution Architect to AI Engineer at Microsoft. - Nikolaos Zavitsanos: from Software Engineer to AI Engineer at AWS. - Paolo Colecchia: from Software Engineer to AI Engineer at Microsoft. - Tanuja Bhamidipati: from Software Engineer to AI Solution Architect at Microsoft. - ... and hundreds more. If you're ready to stop stop collecting courses and start building proof, send me a DM, and I'll see how I can help you.
RecoMind helps B2C companies increase profit with AI-powered personalization: search, recommendations, and a sales chatbot that learns from every customer interaction. We also provide Customer360 (unified customer profiles) and Market Intelligence (competitive and market analysis) to drive smarter business decisions. Our team has generated over $500M in revenue for customers using personalization.
Oversee all AI initiatives across strategic consulting and venture building.
I'm helping a new generation of students to understand and apply AI.
Started as a Data Scientist and grew to Principal Data Scientist Manager. My team has supported multiple industries such as retail, gaming, finance, marketing, e-commerce, energy, media, manufacturing, and others. We implement solutions in a wide range of AI areas including recommendation systems, natural language processing, computer vision, time series forecasting, and other machine learning techniques. Our repository Recommenders ➡️➡️ https://github.com/recommenders-team/recommenders is a world reference in recommendation systems.
I help the College to define its strategic development, research themes, academic programs, and partnerships with the industry.