Khushi Dhankhar

Khushi Dhankhar

Full Stack + Ai · Developer

About

Full-stack engineer who builds real-time systems, cloud infrastructure, and LLM-powered tools. Built a Redis pub/sub trading engine with automated liquidation, a containerized Git-to-URL deployment pipeline on AWS, and a LangGraph agentic system that turns natural language into running web apps using Gen Ai. Experienced with RAG pipelines, vector search, and embedding-based retrieval. Comfortable from TimescaleDB time-series modeling and E2B sandboxes to WebSocket streaming and Next.js frontends.

Skills
JavaScript
TypeScript
Python
SQL
React
Next.js
Tailwind CSS
Node.js
Express.js
Prisma
PostgreSQL
TimescaleDB
Redis
FastAPI
LangChain
LangGraph
RAG Pipelines
Vector Search
E2B
ai-sdk
Docker
Nginx
Git
WebSockets
Socket.IO
GitHub
Projects
Lauchio

Lauchio

Git-to-URL Deployment Platform

Self-hosted deployment platform that takes any GitHub URL, builds it in an isolated Docker container, and serves the output on a unique subdomain — replicating core Vercel infrastructure with real-time build log streaming.

Next.jsNode.jsDockerAWS S3WebSockets
GitHubLive
Exness

Exness

Crypto Trading Platform

Leveraged crypto trading platform with real-time BUY/SELL orders, TP/SL, and up to 100x leverage. Built on a Turborepo monorepo with 6 decoupled services and an automated liquidation engine running every 5 seconds.

Next.jsNode.jsRedisTimescaleDBPostgreSQL
GitHubLive
Buildio

Buildio

AI App Builder

Converts natural language prompts into deployable React + Vite + TailwindCSS apps using a multi-stage LangGraph pipeline. Streams 20+ granular events to the frontend and persists projects to PostgreSQL and Azure Blob Storage.

Next.jsLangGraphGemini 2.5 ProE2BPostgreSQL
GitHubLive
Contact

Open to work

Got an idea that needs
real engineering?

I ship trading engines, AI pipelines, and deployment infrastructure — not just landing pages. If your problem is hard, let's talk.

khushidhankhar006@gmail.com