The Accidental Discovery
Let me be honest with you - I didn't wake up one day and decide to revolutionize how AI and infrastructure work together.
It started with curiosity. I was just another developer, fascinated by the possibilities of LLMs. Playing around with LangChain, building chatbots that could actually hold conversations, watching these models get smarter by the day.
But then something clicked that changed everything...
I was staring at my latest LangChain agent when I thought: "What if this thing could actually DO something instead of just talking about it?"
Down the Infrastructure Rabbit Hole
That question haunted me. So I did what any obsessed developer does - I went ALL IN.
I started building everything from scratch. Not because I had to, but because I wanted to understand how things actually work:
PostgreSQL Databases
Designed schemas, optimized queries, understood relationships at a fundamental level
Object Storage Systems
Because someone needs to know how data actually gets stored and retrieved
Container Orchestration
Docker, Podman - made applications dance together in perfect harmony
Email Servers
Yes, I built my own email server. From. Scratch. SPF, DKIM, DMARC - the whole thing.
My friends thought I was crazy. "Why build an email server when Gmail exists?"
Because you can't teach AI to manage what you don't understand yourself.
The Breakthrough Moment
Then came the moment that changed everything.
I was working on a trading automation project for a client. They needed real-time data analysis, intelligent decision-making, and a system that could run 24/7 without human intervention.
Instead of building separate systems, I connected my LLM agents directly to the infrastructure. The AI wasn't just analyzing data - it was managing containers, optimizing database queries, and scaling resources in real-time.
"For the first time, I saw AI and infrastructure working as one intelligent system. It was beautiful."
The client got 100% automated backend operation with sub-second response times. But I got something more valuable - proof that the future I imagined was possible.
Building the Future
That's when I realized what I was actually building wasn't just another AI tool or DevOps solution.
I was building the foundation for truly intelligent systems.
Systems where AI doesn't just answer questions - it manages databases, deploys applications, monitors infrastructure, and makes decisions that keep everything running smoothly.
So I founded Sanskriti Labs with a simple but ambitious mission: Make every system intelligent enough to manage itself.
Today's Reality:
What's Next?
We're just getting started.
While everyone else is building AI that chats, I'm building AI that works. AI that understands your infrastructure, optimizes your databases, manages your containers, and keeps your systems running better than any human ever could.
Some people call this ambitious. I call it inevitable.
The question isn't whether intelligent systems will manage our infrastructure - it's who's going to build them first.
Want to be part of this future?
I'm always looking for people who believe that the future belongs to intelligent systems.
Let's Build Together© 2025 Abhishek Rajpurohit