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 features 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, AI agents that take real actions, and automation that triggers downstream logic on your API, database, or notifications. For voice, I build agents on VAPI grounded in the same knowledge base.
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 features 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, AI agents that take real actions, and automation that triggers downstream logic on your API, database, or notifications. For voice, I build agents on VAPI grounded in the same knowledge base.
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
$1,500
|
|---|---|---|---|
| Delivery Time | 4 days | 12 days | 24 days |
Number of Revisions | 1 | 2 | 3 |
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
4 reviews
(4)
(0)
(0)
(0)
(0)
This project doesn't have any reviews.
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 | Bug Fix & Deployment Fix
100%
Job Success
Gujrat, Pakistan - 6:02 am local time
I am a Next.js developer and Node.js developer specialized in bug fix, debugging, and deployment work across the full stack: React, JavaScript, and TypeScript on the frontend, Node.js and Express on the backend.
The pattern behind almost every job I take is the same. The app runs fine on your machine, then fails the moment it goes live. A Vercel build that passes locally and dies on deploy. A Railway container that crashes seconds after startup. A VPS that falls over under real traffic. These bugs live in the production environment, so I read deployed logs and build output instead of guessing from the source code.
Recent example: a Node.js backend that crashed only at peak traffic. Local tests never caught it because the database connection pool only hit its limit under real concurrent users. One config change ended it.
✔ WHAT I FIX
▸ Vercel deployment, Railway deployment, Render, and VPS failures
▸ Next.js bug fix: hydration errors, broken API routes, build errors
▸ Node.js crashes, runtime errors, and environment variable problems
▸ Authentication: JWT, OAuth, Clerk, NextAuth, sessions, and RBAC
▸ Docker, CI/CD, Nginx, PM2, and Linux server issues
▸ Apps built with Cursor, Lovable, Bolt, or Replit that broke after the demo
✔ WHO HIRES ME
▸ Founders whose app builds locally but fails on Vercel, Railway, or a VPS
▸ Teams that need production stable again fast
▸ People who built an app with AI tools and need it finished properly
▸ Developers who inherited an unstable codebase
✔ HOW I WORK
A lot of deployment fixes only hide the symptom, so the same failure comes back on the next release. I fix the root cause in the config, the dependencies, or the environment handling, then verify across several production deploys before calling it done. You get a short note explaining what was actually wrong, in plain words.
✔ BEYOND FIXES
I also build complete apps as a Next.js and Node.js developer: frontends with Server Components and SSR, Express backends with REST APIs, PostgreSQL or MongoDB, TypeScript across the stack, and auth built in from day one. Every build ships deployed and tested on Vercel, Railway, or a VPS. Where a project needs it, I add AI features with the OpenAI API, including RAG chatbots and AI agents grounded in your own data.
✔ TURNAROUND
Single bugs: usually within 24 hours. Deployment failures: usually within 48. I also take long term contracts for ongoing development, deployment, and maintenance.
Send the error, the logs, or a screenshot. I will tell you what is likely wrong and what it will cost 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.