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Hi Everyone,
I am currently open to new opportunities and actively looking for remote full-time, freelance, or contract Full-Stack / AI Engineering roles.
I'm Krish, a Full-Stack Developer specializing in AI agent systems, and I build products end-to-end. Here are my recent projects and my portfolio:
Portfolio: https://krishchhabra.com
Orchestra — Multi-Agent Coding WorkspaceAI agents that plan, code, test, and open PRs autonomously in disposable sandboxes — you watch it happen live.
Live: https://workspace.krishchhabra.com
Demo (vision): https://live-pr-pilot.lovable.app
Agentra — AI Agent Retrieval ConsoleRAG + MCP-based research agent built on LangChain and LangGraph. Features a multi-agent report generator, live tool execution, persistent memory, and source citations on every answer.
Live: https://agentra.krishchhabra.com
My Stack:React, Next.js, Node, TypeScript, Redis, React Native, SwiftUI, Postgres, MongoDB, Docker, AWS — plus the full LLM ecosystem (OpenAI, Claude, LangChain, LangGraph, MCP, RAG).
If you have any openings at your company, can refer me, or know anyone hiring in the agentic AI space, I'd really appreciate an intro! Happy to share my resume on request.:
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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AI Assistant Using Your Business Knowledge Base — RAG on Your Documents
THE PROBLEM
Q&A bots break down when knowledge lives in documents: a 100-page manual has no "questions" to match, it can't fit into a prompt, and generic chatbots hallucinate instead of admitting what they don't know.
THE SOLUTION
A RAG (Retrieval-Augmented Generation) knowledge base: documents are split into meaningful chunks, embedded into a vector index, and the assistant answers from the right sections — by meaning, not keywords.
Any format as-is: PDF, DOCX, TXT, Markdown — 100+ pages is fine
Answers grounded in YOUR documents — it says "I don't have that information" rather than inventing
Source references — every answer shows which document and section it came from
Runs on your infrastructure — documents never leave your control
One command to re-index after updating documents — documented, no programmer needed
LIVE DEMO
Ask it about my products, pricing, deployment and support — it answers from 6 real documents with sources:
https://kb-assistant-demo.dvc-ai.workers.dev
The 'I don't have that information' line is the part most RAG builds skip, and it's the one that matters. How do you set the cutoff? On mine, a fixed similarity threshold broke once I filtered results by user role. Scores shifted and it refused questions it could answer.
Huge congratulations on hitting the $10k milestone! 🚀 Truly inspiring to see what’s possible on Contra.
I joined Contra just about a month ago as a full-stack developer. I’ve set up my services and published a few case studies, but I'm constantly learning how to optimize my presence here.
If you could look back at your early days, what’s the #1 thing you did that moved the needle for your profile visibility and landing initial inbound clients?
Any quick tips for newcomers would mean a lot!
Just hit my first $10,000 on Contra 🥳🎉
I joined Contra a while ago without really knowing what to expect, and it’s been really nice to see it gradually become a place where I’ve met great clients and worked on projects I genuinely love.
Here’s to the next one 🥂
CONGRATS
THIS IS A HUGE MILESTONE
I'm not where I want to be but I'm far from where I started
So happy to have reached this milestone
Wow congratulation