I will fix bug in next js, supabase, graphql, mongodb, firebase

J
jeelkakadiya
J
jeelkakadiya
Jeel
fix bug in next js, supabase, graphql, mongodb, firebase
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fix bug in next js, supabase, graphql, mongodb, firebase
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fix bug in next js, supabase, graphql, mongodb, firebasefix bug in next js, supabase, graphql, mongodb, firebasefix bug in next js, supabase, graphql, mongodb, firebasefix bug in next js, supabase, graphql, mongodb, firebase

About this gig

Im Jeel Kakadiya, a React.js and Next.js developer with 4+ years of experience. I specialize in full-stack development with Supabase, Node.js, and bug fixing for web and backend apps.


Frontend Services:


  • Next.js Development (SEO-friendly apps)
  • Supabase Integration (auth, database)
  • Responsive UI (Tailwind CSS, Material UI, Ant Design)
  • Bug Fixes (React.js, Next.js)


Backend Services:


  • Node.js Development (scalable systems)
  • Database (PostgreSQL, MongoDB, SQL/NoSQL)
  • API Creation (secure RESTful APIs)
  • Bug Fixes (Backend issues)


Tech Stack:


  • Frontend: JavaScript, TypeScript, React.js, Next.js, Redux, Axios, Tailwind CSS
  • Backend: Node.js, TypeScript, MongoDB, PostgreSQL


If you need help with development or fixing bugs, feel free to contact me!

  • Type

    • Bug fixes
    • API integration
    • Authentication
    • Database integration
    • AI & LLM integration

  • Vibe coding platform

    • Lovable

  • Target device

    • Website
    • Progressive web app (PWA)
    • Cross-platform app (Mobile, Desktop, Web)

  • Database type

    • Supabase
    • Firebase (Firestore / Realtime DB)
    • AWS (DynamoDB, Aurora, RDS)
    • MongoDB Atlas
    • Google Cloud Firestore / Cloud SQL
    • Microsoft Azure Cosmos DB / SQL Database

Get to know Jeel

Jeel

Full Stack developer

  • FromUnited States
  • Member sinceJan 2022
  • Avg. response time1 hour

  • Languages

    English
• I build AI agents and the systems around them: voice agents and automation that qualify leads, answer questions, and book appointments • The hard part is rarely the model. It's evaluation and messy data • Built ETL pipelines handling 100K+ records a day, a hospital analytics platform covering 17K US facilities, and a real estate platform on ARMLS data • Currently building agent and lender portals at The RemoGroup and LokeList • Stack: Python, TypeScript, FastAPI, Next.js, PostgreSQL, AWS, LiveKit, OpenAI Realtime, Twilio, MCP • Open to freelance AI, CRM, and integration work.

My Portfolio

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