You will get AI / LLMs (OpenAI, Anthropic) into your existing app
Project details
You'll get a production-ready AI / LLM integration into your existing app — clean code, working in your stack, with proper error handling and cost controls built in.
I'm a senior full-stack engineer with hands-on AI integration experience: I built a computer-vision pipeline into a consumer mobile app at Geeklone, and I'm currently shipping LLM-assisted features at Must (South Korea). I work in your codebase, not a "framework I happen to know."
What makes my work different:
• Cost-aware by design — caching, batching, and model fallbacks so your bill doesn't surprise you.
• Production-grade prompting — versioned prompts, evaluation harness, observability included.
• Provider-agnostic — happy to work with OpenAI, Anthropic, or both.
• Real integration — wired into your existing flows, not a standalone demo I hand off.
You get full source code, integration docs, and a runbook your team can use to maintain and extend it.
I'm a senior full-stack engineer with hands-on AI integration experience: I built a computer-vision pipeline into a consumer mobile app at Geeklone, and I'm currently shipping LLM-assisted features at Must (South Korea). I work in your codebase, not a "framework I happen to know."
What makes my work different:
• Cost-aware by design — caching, batching, and model fallbacks so your bill doesn't surprise you.
• Production-grade prompting — versioned prompts, evaluation harness, observability included.
• Provider-agnostic — happy to work with OpenAI, Anthropic, or both.
• Real integration — wired into your existing flows, not a standalone demo I hand off.
You get full source code, integration docs, and a runbook your team can use to maintain and extend it.
AI Algorithms
Large Language ModelAI Applications
AI Chatbot, AI Text-to-Image, AI Text-to-Speech, AI-Generated Art, AI-Generated Video, Facial Recognition, Image Analysis, Image Processing, Image Recognition, Image Upscaling, Natural Language Generation, Text RecognitionAI Development Language
PythonAI Models
ChatGPT, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$250
|
Standard
$750
|
Advanced
$1,800
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 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 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $100
Additional Revision
+$50
Additional Page
(+ 2 Days)
+$80
Design Customization
(+ 4 Days)
+$120Frequently asked questions
About Haseeb
Senior Full-Stack Engineer | Node.js, React, MongoDB, AI Integration
Lahore, Pakistan - 4:55 pm local time
What I bring:
- Real production experience — payment integrations, background jobs, scheduled workflows, security and test pipelines (Snyk, Acunetix, Selenium). Most recently led an Earned Wage Access fintech at Ryalize (Bahrain).
- End-to-end ownership — I take features from API design through frontend UX and shipping. I'm comfortable jumping into existing codebases and contributing the same week.
- AI / LLM integration — built AI-vision features into a consumer mobile app (Quit Must), and currently integrating LLM-assisted workflows at Must.
- Architecture moves that ship — led a monolith → microservices migration that cut deploys by 40% and downtime by 25%, and an Nx monorepo rollout that cut build times 30%.
Stack I work in daily:
Backend: Node.js, Express, Fastify, NestJS, REST, GraphQL, WebSockets
Frontend: React, Next.js, TypeScript, Redux, TailwindCSS
Databases: MongoDB / Mongoose, PostgreSQL, MySQL, Firebase
Cloud / DevOps: AWS, Firebase, Docker, Kubernetes, CI/CD (Bitbucket Pipelines, GitHub Actions)
Mobile (when needed): Flutter, native Android (Java)
If you need someone who'll ship reliable, maintainable production code — and communicate clearly with both technical and non-technical teammates — let's talk. I respond to invites within a few hours and I'm flexible on hours to overlap with US, UK, and EU clients.
Steps for completing your project
After purchasing the project, send requirements so Haseeb can start the project.
Delivery time starts when Haseeb receives requirements from you.
Haseeb works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery call (30 min)
We confirm scope, model choice, integration approach, and success criteria.
Prompt engineering & prototype
Working AI call in isolation — proves the prompt and approach before integration.