I build AI that makes it to production.
Gen AI Developer at TCS. I design and ship end-to-end AI products, from the agentic backend to the interface users actually touch. My work spans LangChain, LangGraph, RAG architectures, and multi-model orchestration, with full ownership of deployment on the other end.
I care about one thing: building AI systems that are reliable in the real world. Not demos, not prototypes sitting in a notebook. Shipped products, running in production, used by real people.
What I do
Gen AI
Multi-agent systems and retrieval pipelines that stay reliable under real traffic: evaluations, guardrails, and graceful failure, not just happy-path demos.
Full-stack
Owning the whole path: typed FastAPI and Node services, React and Next.js front ends, and the contracts that hold them together.
Delivery
Containerised, observable, reproducible: Docker and Kubernetes on AWS with infra as code, so a model becomes a product that stays up.
The stack
Gen AI & LLMs
Agentic systems, RAG pipelines, and LLM apps shipped to production.
Languages
The languages I reach for across AI, services, and tooling.
Python
TypeScript
GoBackend & Data
APIs and data layers behind the models and the products.
Node.jsPostgreSQL
MongoDBRedisFrontend
Interfaces for AI products, built with motion and care.
ReactNext.js
Tailwind CSS
Framer MotionDevOps & Cloud
Shipping and running it all, end to end.
Docker
Kubernetes
AWS
Terraform
GitOn GitHub
@anshroshan85 contributions in the last year
Most used languages
How I got here
- 2024 — Present
Gen AI Developer
TCS (Tata Consultancy Services)
Building agentic systems, RAG pipelines, and full-stack AI products that ship to production.
- [Years]
[Earlier role at TCS, e.g. Systems Engineer]
TCS (Tata Consultancy Services)
[What you worked on before moving into Gen AI. Remove this entry if not needed.]
- [20XX — 20XX]
B.Tech, [branch]
[College / University name]
[One line: specialisation, a key project, or a result.]
- [20XX]
Class XII (Senior Secondary)
[School name]
[Stream, e.g. Science (PCM). Add a percentage only if you want it shown.]
- [20XX]
Class X (Secondary)
[School name]
[Optional one line.]
Certifications & achievements
[Certification name]
[Issuer, e.g. AWS / Microsoft / DeepLearning.AI] · [20XX]
[Certification name]
[Issuer] · [20XX]
[Achievement / hackathon win]
[Organiser] · [20XX]