Microsoft MVP | The big brother AI builders never had | AI Engineering & Leadership | Founder of MasterDexter and Buildership
Close to a decade in AI. 10,000+ engineers trained. Most of them never shipped anything.
I was teaching in the wrong order.
That question cost me years. In 2025 I finally had the answer. I flipped the sequence. Pick a real problem first. Learn only what that build demands. Ship it live. Measure traction with real users. That became PILOT.
In 2026, the first cohort built entirely on PILOT shipped 6 production-grade AI systems in 8 weeks. All deployed. All live.
MasterDexter - AI engineering accelerator. 8 weeks. 4 production systems shipped per cohort. PILOT framework.
Buildership - 100+ real AI product ideas, each with a full build environment. The Build30 challenge runs here.
Newsletter - Weekly writing on AI engineering & Leadership, what works in production, and what I learn running these programs.
Start with whichever problem you have right now.
AI Engineer Headquarters - The full AI engineering roadmap. ML, GenAI, LLMs, RAG, system design. 3.7k+ stars. Start here if you are new to building AI systems.
Build-Your-Own-AI-Everything - 24 hands-on AI builds. Each one ships something real.
Head-Of-AI-Roadmap - What it actually takes to move into an AI leadership role. For senior engineers and aspiring Heads of AI.
AI-System-Design - System design patterns specific to AI products. Not generic FAANG prep.
Python-Roadmap - Python from zero. 30 topics, 500+ practice questions, 15 projects.
Data-Analyst-Roadmap - 8 weeks from fresher to working data analyst.
What most people get wrong
- AI Certifications are a Waste of Time - Why the cert track produces engineers who cannot build
- I Still Feel Like a Fraud But I Move Anyway - The honest version of what building actually feels like
How AI works
- Tokens VS Parameters in LLMs - The distinction most people confuse, explained without jargon
- How Does LLM Work? - GPT, prompt, attention mechanism, training. The full picture.
- What LLMs Can't Do Yet - 4 dangerous myths. Read before you build anything with an LLM.
- Attention Is All You Need - Paper Unfold - The paper that started everything, unpacked clearly
AI Agents
- How Does AI Agent Work? - The clean explanation. No hype.
- AI Agents vs LLMs - What the difference actually is and why it matters
- AI Agents Roadmap 2026 [Ship or Die] - Architect vs wrapper dev. Which side are you on?
- 5 Myths About AI Agents, Busted - Clear out what you think you know
Building in production
- Why 80% of AI Engineers Stay Stuck at the Wrapper Level - The 3 builds that separate engineers who diagnose from engineers who guess
- 95% of AI Projects Fail - The human-in-the-loop architecture pattern most teams miss
Case studies from the field
- How We Automated 50 Emails a Day for an FMCG Brand - Self-hosted on AWS. Real build, real client.
- How a Dev with 0 AI Experience Landed 2 Paid AI Contracts in 8 Weeks - Cohort 1 graduate story. Real numbers.
NeuroCache - Offline memory module for LLM agents. Plug-and-play, works without an API.
hcv-api - Citation verification API for legal AI platforms. Production-grade.
ClaudeFlow - Workflow toolkit for AI-native development with Claude Code.
claude-arsenal - Prompt library and tool kit for working with Claude.
secure-rag-app - Secure RAG implementation. Production patterns, not a demo.
CohortHelperAI - Teaching assistant built for live cohort creators.
AI-Agents-Lab - Working code for agent patterns I actually use.
Neurons-To-GenerativeAI - GenAI, LLM, RAG, and LangChain bootcamp across 5 industry sectors.
AI-Agents-Accelerator - Production AI agent patterns and bootcamp materials.
10,000+ engineers trained in AI, Python, and data science
3,700+ stars on the AI Engineer Headquarters roadmap
200+ live webinars and sessions hosted
30,000+ LinkedIn followers
7,000+ Substack subscribers
130 million student interactions in my knowledge tracing research, across 700,000+ students. This research is what shaped the learning sequence inside PILOT.
20+ build sprints hosted
Microsoft MVP
For engineers who want to build
AI Engineer HQ Accelerator - 8 weeks. 6 live artifacts. PILOT framework. You leave with a real portfolio and access to the AI Talent Studio placement pipeline.
Buildership - Ongoing builder community and AI idea library. Build30 challenge runs here.
For companies and teams
Teams - B2B training and AI deployment for engineering teams.
Dextar - AI engineering and consulting across energy, healthcare, life sciences, and defence.
For AI leaders and decision-makers
The Elite - AI Leadership Accelerator for Heads of AI, VPs, and CTOs.
For recruiters and hiring managers
AI Talent Studio - Vetted AI builders with live products, real traction, and a 90-day hire guarantee.
Close to a decade in AI. Started freelancing in 2017. Built HemansAI, an AI product studio, in 2018.
In 2019 launched the Machine Learning Engineer Bootcamp. 20 students. Live sessions every week. I rebuilt the curriculum every time the market moved.
Co-founded Dextar in 2020. AI engineering and consulting across energy, healthcare, life sciences, and defence. This is where the real production system patterns came from.
MTech in Data Science completed in 2021. Research thesis: knowledge tracing across 130 million student interactions. The data showed that learning sequence predicts outcomes more than content volume. That finding is inside every PILOT cohort.
Microsoft MVP awarded in 2022. God Level Data Science repo crossed 1,000 stars the same year. Delivered an 8-hour AI training session for law enforcement officers in India.
Keynoted Google DevFest Indore in 2023 (100 attendees) and again in 2025 (1,000 attendees). Talk title: "How to Learn AI Fast?" The answer was not to learn faster. It was to learn in the right order.
In 2026, ran the first cohort fully built on the PILOT framework. Engineers assigned GitHub issues like a real engineering team. Pull requests reviewed. 6 artifacts. 8 weeks. All deployed. All live.
"I had no idea where to start. The roadmap gave me a starting point. The real projects gave me the experience to work on something in production, not just demos. That is the key point the market values." Alex Ariza Herrera, Software Developer, Colombia
"I was getting leads every two or three days for Head of AI roles and failing the interviews. The architecture frameworks here are exactly what I needed. Specific, practical, not theoretical." Principal AI Architect, Financial Services, Atlanta
"The production deployment module alone is worth 5x what I paid. I could build models but had no clue about production deployment. Now I confidently deploy AI systems with practical tips that are not documented anywhere else." Surjit Choudhury, Sr. Data Architect, Envision Pharma Group
