You will get AI integration, a RAG chatbot, or an AI agent for your app
Rising Talent
Project details
Most AI features work in the demo, then fall apart when a real user pushes on them. That is almost never the model. It is the backend logic, weak context handling, or streaming wired together too fast. That is the layer I work on.
I add AI integration inside existing Next.js and Node.js apps with the OpenAI API, Claude, and Gemini: chatbots grounded in your own content through a RAG pipeline so answers come from your documents, AI agents that take real actions, and AI automation that triggers downstream logic on your API, database, or notifications. For voice, I build AI agents on VAPI grounded in the same RAG knowledge base, with clean handoff for anything out of scope.
I also fix integrations that already shipped: wrong answers, dropped context, broken streaming under load. These almost always trace to the backend around the model, so they are fixable without a rebuild.
Show me what you have or what you need. I will come back with a build plan and cost before anything is agreed.
I add AI integration inside existing Next.js and Node.js apps with the OpenAI API, Claude, and Gemini: chatbots grounded in your own content through a RAG pipeline so answers come from your documents, AI agents that take real actions, and AI automation that triggers downstream logic on your API, database, or notifications. For voice, I build AI agents on VAPI grounded in the same RAG knowledge base, with clean handoff for anything out of scope.
I also fix integrations that already shipped: wrong answers, dropped context, broken streaming under load. These almost always trace to the backend around the model, so they are fixable without a rebuild.
Show me what you have or what you need. I will come back with a build plan and cost before anything is agreed.
AI Algorithms
Large Language ModelAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Speech, AI-Generated Code, Conversational AI, Image Analysis, Image Recognition, Machine TranslationAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Replit, StreamlitAI Models
ChatGPT, GPT-3, GPT-4, GPT-Neo, OpenAI CodexWhat's included
| Service Tiers |
Starter
$120
|
Standard
$400
|
Advanced
$1,100
|
|---|---|---|---|
| Delivery Time | 4 days | 12 days | 24 days |
Number of Revisions | 2 | 3 | 5 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | |
Model Documentation | - | ||
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | |
Model Tuning | |||
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | |
Prompt Engineering | |||
Setup File | |||
Source Code |
Frequently asked questions
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FM
Florian M.
May 21, 2026
Versel setup
I would like to sincerely thank you for the outstanding work and professional administration of the website. Overall, the entire collaboration turned out to be extremely positive, reliable, and highly professional from start to finish.
At the very beginning, communication was a little bit difficult and somewhat unstructured at times, which can naturally happen in more technical and complex projects. However, what truly stood out was the continuous improvement throughout the entire process. Communication became better and better over time, much clearer, more organized, and significantly more efficient.
As the project progressed, there were no misunderstandings anymore regarding the tasks or requirements. Everything was discussed properly, questions were clarified quickly, and the implementation process became very smooth and professional. It was obvious that great attention was given not only to the technical aspects, but also to understanding the actual goals and expectations behind the project.
One thing I especially appreciated was the willingness to improve communication and adapt during the collaboration. In the beginning, a few details required additional clarification, but afterward everything worked perfectly. The tasks were understood correctly, handled professionally, and implemented exactly as requested.
The final result was absolutely excellent. The website administration, technical adjustments, and overall execution were completed perfectly and fully met my expectations. Even smaller details were handled carefully, which clearly demonstrates professionalism, dedication, and technical expertise.
In the end, everything turned out very well, and I am genuinely satisfied with the entire experience. The collaboration improved continuously, communication became excellent, and the final implementation was simply outstanding.
For that reason, I am very happy to give a full 5-star rating and can highly recommend this service without hesitation. Thank you very much for the professional support, the patience throughout the process, and the excellent final results
At the very beginning, communication was a little bit difficult and somewhat unstructured at times, which can naturally happen in more technical and complex projects. However, what truly stood out was the continuous improvement throughout the entire process. Communication became better and better over time, much clearer, more organized, and significantly more efficient.
As the project progressed, there were no misunderstandings anymore regarding the tasks or requirements. Everything was discussed properly, questions were clarified quickly, and the implementation process became very smooth and professional. It was obvious that great attention was given not only to the technical aspects, but also to understanding the actual goals and expectations behind the project.
One thing I especially appreciated was the willingness to improve communication and adapt during the collaboration. In the beginning, a few details required additional clarification, but afterward everything worked perfectly. The tasks were understood correctly, handled professionally, and implemented exactly as requested.
The final result was absolutely excellent. The website administration, technical adjustments, and overall execution were completed perfectly and fully met my expectations. Even smaller details were handled carefully, which clearly demonstrates professionalism, dedication, and technical expertise.
In the end, everything turned out very well, and I am genuinely satisfied with the entire experience. The collaboration improved continuously, communication became excellent, and the final implementation was simply outstanding.
For that reason, I am very happy to give a full 5-star rating and can highly recommend this service without hesitation. Thank you very much for the professional support, the patience throughout the process, and the excellent final results
BB
Bryan B.
May 4, 2026
QUICK JOB: Update My Vercel Website
Hamza works FAST. Literally responded, accepted, and got the job done without any delay. Committed to quality and getting the tasks done exactly as instructed.
MH
Morten H.
Apr 29, 2026
Install postiz on vps
Very happy to work with Hamza. He was committed to achieve the desired result and even offered to add some details to the project after the job was done. 100% recommend.
RY
Riges Y.
Apr 4, 2026
Fix Railway Deployment for Next.js with Clerk Authentication
Hamza, was a pleasure to deal with, responsive, great communicator and excellent work quality.
About Hamza
Next.js Developer, Node.js Developer, Vercel, Railway & VPS Deployment
100%
Job Success
Gujrat, Pakistan - 1:56 am local time
Your build passes on your machine, then fails the second it goes live. A Vercel build breaks. A Railway container dies on startup. A VPS deploy falls over under real load. These problems only show up after deployment because the production environment triggers them, not your local setup. I trace the real cause from deployed logs and build output, not guesswork.
Have a broken deployment or a bug you cannot track down? Send me the error and I will tell you the likely cause before you hire me. Most single bugs are fixed within 24 hours. Most deployment failures within 48.
✔ PROVEN RESULTS:
▸ Railway deployment rescue: a Docker container dying on every push, traced to two startup environment issues and fixed, clean releases ever since
▸ Vercel deployment fix: a Next.js build passing locally but failing on every deploy, build config corrected and verified across several releases
▸ Next.js bug fix: a hydration error that only showed up in production, traced through deployed logs and fixed at the root, not patched over
▸ VPS deployment: a DigitalOcean server with Docker, Nginx, SSL, PM2, and GitHub Actions CI/CD for deploys that run on their own
▸ Auth rebuild: JWT expiry, refresh token rotation, Google and GitHub OAuth, Clerk sessions, and RBAC middleware on every protected route
▸ Render deployment fix: a Node.js backend crashing under load, environment loading and PM2 restart policy corrected
✔ WHO HIRES ME:
▸ Founders whose Next.js or Node.js app builds locally but fails on Vercel, Railway, or a VPS
▸ Teams that need a deployment fix done fast and kept stable under real traffic
▸ Clients with Next.js and Node.js bugs that only show up in production
▸ People taking over a Cursor, Lovable, Bolt, or Replit app before launch
▸ Developers who inherited an unstable production codebase
✔ WHAT I FIX:
Deployment failures tend to follow the same pattern. A Next.js build that passes locally but fails on Vercel usually hides a dependency conflict or a server-side import. Railway deploys often fail because environment variables load in the wrong order. VPS problems are commonly PM2 or process management. I start from the deployed logs and container output, trace the root cause, fix it, then verify across real production deploys.
▸ Next.js Bug Fix, Next.js Error Fix, and Next.js debugging
▸ Node.js Bug Fix, Node.js Error Fix, and runtime crashes
▸ Vercel Deployment, Railway Deployment, and VPS Deployment failures
▸ Build Error Fix and Deployment Fix across every platform
▸ Docker and Docker Compose configuration problems
▸ API routes, server errors, and environment variable issues
▸ Next.js authentication: JWT, OAuth, session, and middleware bugs
▸ DevOps: Nginx, PM2, SSL, Linux server, and GitHub Actions CI/CD
▸ Cursor, Lovable, Bolt, and Replit apps that break after the demo
✔ THE FIX THAT HOLDS:
A lot of deployment fixes only hide the symptom. I fix the root cause inside config, dependencies, or environment handling, then verify across several production releases and check the surrounding setup so the same issue does not come back on the next deploy.
✔ FULL DEVELOPMENT, NOT JUST FIXES:
As a Next.js Developer and Node.js Developer I also handle full builds:
▸ Next.js frontend, Server Components, Server Actions, and SSR
▸ Node.js and Express.js backend with REST APIs and middleware
▸ Auth using JWT, Google and GitHub OAuth, Clerk, and NextAuth
▸ Multi-tenant SaaS, RBAC, and Stripe payments
▸ TypeScript across the full stack with production build config
▸ Taking half-built or AI-generated apps to production standard
✔ TECH STACK:
▸ Next.js, React, TypeScript, JavaScript, Tailwind CSS
▸ Node.js, Express.js, REST APIs, PostgreSQL, MongoDB, Prisma, Supabase
▸ Docker, CI/CD, Linux, Nginx, PM2, DigitalOcean, Vercel, Railway, Render
Where a project needs it, I also add AI integration with the OpenAI API, AI agents, RAG, and AI automation inside production Next.js and Node.js apps, but that stays secondary to the core deployment and bug fix work.
✔ TURNAROUND:
Single bugs are usually fixed within 24 hours. Most deployment failures within 48. I also take long-term contracts as a Next.js Developer and Node.js Developer for ongoing development, deployment, and bug fixing.
Send the error or the details. Cost and timeline confirmed before anything starts.
Steps for completing your project
After purchasing the project, send requirements so Hamza can start the project.
Delivery time starts when Hamza receives requirements from you.
Hamza works on your project following the steps below.
Revisions may occur after the delivery date.
App and data reviewed
I review your app, your data sources, and how the AI should behave before starting.
Built and tested
The AI feature wired into your Node.js backend, connected to your data, and tested.