Anthropic · 2026
Claude Certified Architect — Professional
AI GovernanceContext engineeringEnterprise ArchitectureEvaluation & optimizationIntegration ArchitectureSolution Design
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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 — LangChain, LangGraph, RAG architectures, and multi-model orchestration, with full ownership of deployment on the other end.
Not demos. Shipped products, running in production, used by real people.
01
End to end
Agentic backend, the interface users touch, and the deployment that keeps both alive. No hand-offs in the middle.
02
Reliable, not impressive
Evals, guardrails, and retrieval that holds up on messy real input — the unglamorous half of shipping AI.
03
Used by people
Shipped and running. Real users, real traffic, real consequences when it goes wrong.
01Credentials
Certified, verifiable
Every credential here is real and checkable. The two with a public badge link straight through to the issuer's page; the rest show the receipt ID you can look up yourself.
2 public badges · 3 receipt IDs
Anthropic · 2026
Claude Certified Developer — Foundations
Agent developmentClaude API integrationMCP Server DevelopmentPrompt EngineeringEval & debugging
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Amazon Web Services · Coursera
Mar 2024
AWS Cloud Solutions Architect Specialization
ID QPX5VKLV99FJEarned
Amazon Web Services · Coursera
Jan 2024
DevOps on AWS Specialization
ID MGKVVZBNDBD9Earned
Google Cloud
Apr 2025
Prompt Design in Vertex AI Skill Badge
Skill badgeEarned
02Timeline
How I got here
The chapters that actually moved the work: platform engineering, then the move into generative AI, then owning agentic systems end to end.
- Apr 2026 — PresentCurrent
Full-stack AI Engineer
TCS · BengaluruFully focused on end-to-end Generative AI delivery: agentic backends, RAG pipelines, evaluations, and the interfaces on top. Enterprise knowledge assistants that give employees reliable answers, AI automation that streamlines SDLC workflows, proof-of-concept to production on React, Python, PostgreSQL, Docker, and GitHub Actions.
Agentic systemsRAGEvalsAWS - Apr 2025 — Apr 2026
Web Developer · AI engineering team
TCS · BengaluruEmbedded in the AI engineering track owning the front end of enterprise GenAI applications: chatbot and knowledge-assistant interfaces, streaming LLM responses, dashboards. Learned the model side from inside the product, and widened the work into the backend along the way.
ReactNext.jsStreaming UI - Jan 2025 — Apr 2025
System Engineer
TCS · BengaluruOnboarded into TCS and moved into the AI engineering track within four months by shipping work end to end on my own stack.
Foundations
03Stack
The tools
What I reach for, roughly in the order I reach for it. Gen AI first, then the languages and infrastructure that carry it.
Primary focus
Gen AI & LLMs
Agentic systems, RAG pipelines, and LLM apps shipped to production.
Core
LangChainLangGraphRAG pipelinesAgentic workflowsAnthropic Claude
Also in the box
LlamaIndexOpenAIHugging FaceVector databases
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.
FastAPI
Node.jsPostgreSQL
MongoDBRedis
Node.jsPostgreSQLMongoDBRedisFrontend
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
Git04Open source
On GitHub
The projects are public, the commits are real, and the calendar below is a year of it. Everything here comes straight from the GitHub API.
Profile
- Public repos
- 29
- Stars
- 1
- Followers
- 9
On GitHub since 2020
Repos by language
TypeScript43%
JavaScript32%
Python11%
Astro4%
Kotlin4%
Next step
Have an AI product to build?
From architecture review to a shipped agentic system — the fastest way to find out if we're a fit is a conversation.