Hey, I'm Aamin.
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Founder, Badgemonster
Building AI products, shipping MVPs, and solving complex engineering problems.
Build your product from idea to production — architecture, engineering, AI, and deployment.
Build intelligent features using LLMs, AI agents, RAG, and automation.
Build scalable web applications from frontend to backend and cloud infrastructure.
Bridge the gap between an AI idea and a product people can actually use.
Get help with architecture, technology decisions, AI adoption, and engineering strategy.
For founders and teams who need a working agent or AI product, not a proof of concept that stalls after the demo.
Cohort-based workshops for engineering teams moving into Backend, DevOps, Generative AI, or Agentic AI — remote or on-site.
Learn to build intelligent AI applications from fundamentals to production, with hands-on projects and live training every step of the way.
9 modules and 8 hands-on projects, from AI fundamentals to Production AI deployment.
Launch offer
₹1,499
An AI learning product that turns a curriculum into an adaptive, badge-driven path — built and shipped as its own company.
An AI operating system for local businesses — discover, generate a website, customize, connect a domain, and publish, all in one flow. Already generated 150+ sites for local shops, gyms, and restaurants.
An AI agent that turns WhatsApp messages into a running ledger — “Rahul ko ₹500 diye” becomes a recorded transaction, no accounting software required.
A local-first video editor that inverts the workflow: delete text from the transcript and the matching video is cut automatically, with AI-detected filler words and pauses.
A walkthrough of how self-attention works under the hood — queries, keys, values, and how transformers use them to build context.
Published in Towards AIA practical walkthrough of prompt engineering fundamentals — the anatomy of a good prompt (role, task, context, constraints), good-vs-bad prompt examples side by side, real-world use cases across industries, and Python code for building prompt templates and calling an LLM API.
Read on Towards AI →
Demos showcase the happy path, but production is everything beyond it — hallucinations, tool failures, infinite loops, and context explosion. A look at why reliability, not autonomy, is what separates agents that ship from agents that stay demos.
Read on Medium →
A backend engineer's field notes on applying Retrieval-Augmented Generation to FAQ search in vacation rentals — turning scattered property details, house rules, and policies into fast, accurate answers for guests.
Read on Medium →Tell me what you're working on — a product to ship or a team to train — and I'll reply within a couple of days.
