You will get LLM Features to Your New or Existing Web App Summarize / Extract / Classify
Top Rated
Project details
I integrate production-ready LLM features into your existing web app. Summarization, extraction to JSON, or classification with clean APIs, strong error handling, and clear documentation. You get reliable outputs, measurable quality, and code you can maintain.
AI Algorithms
Feedforward Neural Network, Large Language Model, Multimodal Large Language Model, Regression Analysis, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, AI Text-to-Speech, AI-Enhanced Classification, AI-Enhanced Medical Imaging, AI-Generated Music, Anomaly Detection, Conversational AI, Facial Recognition, Image Recognition, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, PyTorch, ReplitAI Models
ChatGPT, GPT-4, OpenAI CodexWhat's included
| Service Tiers |
Starter
$450
|
Standard
$1,500
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 12 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.
Additional Revision
+$100
Add 1 extra LLM feature
(+ 2 Days)
+$250
Deploy to AWS/Azure/VPS (Docker)
(+ 2 Days)
+$300
Add RAG on your documents
(+ 5 Days)
+$900
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Muneeb is a good developer and understand quickly what the job is about. He works with a clear process that helps understand the context, analyse the situation, and prioritize important tasks.
I'd have liked Muneeb to communicate better around timeline and outputs, because the job was time constraint and against a tight product roadmap.
I'd have liked Muneeb to communicate better around timeline and outputs, because the job was time constraint and against a tight product roadmap.
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About Muneeb
Full Stack Developer | AI Developer (LLM, RAG, Agents) | AI Automation
91%
Job Success
Luton, United Kingdom - 12:45 pm local time
RAG chatbots, AI agents, LLM integrations, and full-stack delivery (Spring Boot + React/Next.js + Node/Python).
Top Rated | 100% Job Success
Hi, I’m Muneeb, a Full-Stack Engineer specializing in AI integrations (LLMs, RAG, Agents) and scalable web apps.
I help startups and product teams ship clean, fast, production-ready features from MVP to mature systems without hand-holding.
What I build (client outcomes)
LLM features inside your product: summarize, extract, classify, chat, search, Q&A
RAG chatbots (secure, multi-tenant, citations, evals, monitoring)
AI agents & tool-using workflows (guardrails, retries, structured outputs)
Full-stack SaaS features (auth, billing, dashboards, APIs, admin panels)
Automation + integrations (OAuth, 3rd-party APIs, Twilio, webhooks, event-driven flows)
Performance & reliability fixes (slow endpoints, query tuning, memory leaks, flaky UI)
My core stack
Frontend: React, Next.js, Angular, TypeScript, Tailwind, shadcn/ui
Backend: Java (Spring Boot), Node.js (NestJS), Python, REST APIs
AI/LLM: RAG, AI Agents, prompt engineering, LangChain/LangSmith, Claude/Gemini (as needed)
Data: PostgreSQL, MySQL, MongoDB
DevOps: Docker, Git, CI/CD (GitHub Actions/Jenkins)
How I work
* Clarify scope + success criteria (fast)
* Ship an MVP version early (so you can test)
* Iterate with tight feedback loops
* Handover with clean code + docs + deployment notes
If you want someone who can own a feature end-to-end and deliver reliably, message me with:
your goal, your current stack, and what “done” looks like.
Steps for completing your project
After purchasing the project, send requirements so Muneeb can start the project.
Delivery time starts when Muneeb receives requirements from you.
Muneeb works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & acceptance criteria
Confirm the feature, inputs/outputs, success criteria (accuracy/latency/cost), and integration point in your web app.