ansh roshan
About

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.

Ansh Roshan

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

Primary focus

Gen AI & LLMs

Agentic systems, RAG pipelines, and LLM apps shipped to production.

LangChainLangGraphLlamaIndexRAG pipelinesAgentic workflowsOpenAIAnthropic ClaudeHugging FaceVector databases

Languages

The languages I reach for across AI, services, and tooling.

PythonTypeScriptGo

Backend & Data

APIs and data layers behind the models and the products.

FastAPINode.jsPostgreSQLMongoDBRedis

Frontend

Interfaces for AI products, built with motion and care.

ReactNext.jsTailwind CSSFramer Motion

DevOps & Cloud

Shipping and running it all, end to end.

DockerKubernetesAWSTerraformGit

On GitHub

@anshroshan

180 contributions in the last year

30 public repositoriesLessMore

Most used languages

TypeScriptJavaScriptAstroPythonHTML

How I got here

  1. 2024 — Present

    Gen AI Developer

    TCS (Tata Consultancy Services)

    Designing and shipping agentic systems and RAG pipelines for enterprise clients. Built multi-step LangGraph agents with tool use, memory, and human approval gates; designed retrieval pipelines with hybrid search, reranking, and eval-driven chunking; owned the full path from FastAPI services to React front ends to Docker and cloud deployment.

  2. 2022 — 2024

    Full-stack Developer

    Freelance & open source

    Shipped storefronts, social apps, and internal tools on Next.js and MongoDB — a Stripe-backed ecommerce store from catalogue to completed order, and a social platform with auth, feeds, and a responsive interface. The foundations I now use for AI products.

  3. 2020 — 2024

    B.Tech, Computer Science

    [College / University name]

    Focus on machine learning, data structures, and distributed systems. Final-year work on clinical risk prediction.

  4. [20XX]

    Class XII (Senior Secondary)

    [School name]

    [Stream, e.g. Science (PCM). Add a percentage only if you want it shown.]

  5. [20XX]

    Class X (Secondary)

    [School name]

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Certifications & achievements

Claude Code Certified Developer

Anthropic · 2026

Claude Code Certified Architect

Anthropic · 2026

AWS Certified Solutions Architect

Amazon Web Services · 2026 (planned)

Have an AI product to build?

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