I'm Anshul — an engineering lead with 7+ years building autonomous, agentic AI systems that automate slow, document-heavy work. I help companies ship AI that survives production and cuts real cost — not just demos.
Every job has a boring 80% — the repetitive busywork nobody signed up for. I build AI agents that do that part.
For the last few years I've gone deep on autonomous, agentic AI. At ReBillion.ai I led the engineering team building an AI transaction coordinator for U.S. real estate — systems that read messy legal paperwork and act on it, cutting client man-hours by ~80% so they scale without hiring more people.
But agentic AI sits on a decade of building backends that don't fall over. Before the LLM wave I scaled platforms to 9M+ users and a peak 250K+ daily actives, ran 100+ microservices across AWS, GCP and Azure, and took products to real revenue.
What that means for you: an engineer who connects AI to outcomes — and ships things that actually work in production, not just in a demo.
From a stuck AI prototype to a workflow buried in PDFs — here's where I help, and who each is for.
Autonomous multi-agent workflows (LangGraph, Vertex AI) that plan, decide and act end-to-end — with a human only where it matters.
For teams who want AI that does the task, not just chatsTurn messy PDFs, scans and forms into clean, validated, structured data — with AWS Textract, Google Document AI, Mistral & LlamaParse.
For ops-heavy businesses drowning in paperworkTake AI features from a flashy prototype to dependable production — evals, guardrails, reliability and the unglamorous engineering that makes it trustworthy.
For founders whose AI needs to work in front of real usersAPIs and infrastructure that stay fast and reliable at millions of users — Golang, Node.js, multi-cloud, microservices, queues and observability.
For products that need to scale without breakingSenior architecture, technical direction and team setup for companies adding AI to their product — without the cost of a full-time hire. I help you choose the right approach, de-risk it, and get your team shipping.
For startups that need senior AI leadership, part-timeA simple, low-risk path — so you see value before you commit to the whole build.
We dig into the real problem and the workflow behind it — not just the feature request.
A working proof-of-concept, fast — so we validate the approach before investing in it.
Engineering for production: reliability, evals, edge cases and scale. The part most demos skip.
Clean docs and knowledge transfer so your team can run and extend it confidently.
Two systems I led — what the problem was, how I approached it, and what it delivered.
The technologies I reach for across the agentic-AI stack.
I optimise for what moves your business — cost, time, revenue — and ship things that survive real users.
Millions of users, 100+ microservices, multi-cloud. I've seen what breaks — and how to keep it from breaking.
I lead engineering teams day-to-day. You get someone who owns the problem, plans it, and drives it to done.
Plain-English updates, honest timelines, and no surprises. You always know where the project stands.
Got a workflow that should be automated, or an AI idea stuck at the demo stage? Tell me about it — the first call is on me.