You will get a fullstack AI evaluation platform with structured feedback
Top Rated
Project details
Replace manual grading with a production-grade AI evaluation engine built for accuracy and scale.
Most AI tools provide generic "chat" responses; I build deterministic systems that score complex human inputs—like medical exams or technical interviews—against your specific rubrics. By combining GPT-4 with RAG (ChromaDB) and a robust Next.js/AWS stack, I deliver an auditable, enterprise-ready platform that eliminates hallucinations.
Why this project stands out:
Precision: Uses proprietary data grounding to ensure 99% alignment with human experts.
Structured Outputs: Delivers data-rich JSON/PDF reports, not just text blocks.
Scalability: A fully serverless AWS architecture designed to handle enterprise-level volume securely.
Most AI tools provide generic "chat" responses; I build deterministic systems that score complex human inputs—like medical exams or technical interviews—against your specific rubrics. By combining GPT-4 with RAG (ChromaDB) and a robust Next.js/AWS stack, I deliver an auditable, enterprise-ready platform that eliminates hallucinations.
Why this project stands out:
Precision: Uses proprietary data grounding to ensure 99% alignment with human experts.
Structured Outputs: Delivers data-rich JSON/PDF reports, not just text blocks.
Scalability: A fully serverless AWS architecture designed to handle enterprise-level volume securely.
AI Development Type
Deep Learning, Knowledge RepresentationAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$1,500
|
Standard
$3,000
|
Advanced
$6,000
|
|---|---|---|---|
| Delivery Time | 14 days | 21 days | 30 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | |
Model Documentation | - | ||
Ontology | - | - | - |
Source Code | - | - | |
Taxonomy | - | - | - |
23 reviews
(22)
(1)
(0)
(0)
(0)
This project doesn't have any reviews.
PD
Peter D.
Mar 9, 2026
Senior Full-Stack Engineer for AI-Driven SaaS Platform
Munib is fantastic! Looking forward to working with him again in the future.
BA
Bulent A.
Jan 8, 2026
React Native & Python Developer for Athan TV App with Azure/Google Cloud Integration (TV Only)
PD
Peter D.
Dec 4, 2025
Backend Audi
MB
Mirza Nouman B.
Nov 1, 2025
Senior Full-Stack JavaScript Engineer (React.js, Python, WebRTC, Claude)
Great work, Munib! Your responsiveness and availability were excellent. As our project scope has evolved, we’ll plan to rehire you once we’re ready to move forward with the back-end development.
MS
Muhammad S.
Oct 18, 2025
30 minute consultation
Excellent! Munib
About Munib
AI-Powered SaaS Engineer | React + Node + LLM Integration | 7 Years
92%
Job Success
Lahore Cantt, Pakistan - 3:40 am local time
𝗛𝗶𝗿𝗲 𝗺𝗲 𝗳𝗼𝗿
▷. SaaS platforms (MVP → production scale)
▷. AI powered web applications (chat, automation, workflows)
▷. REST and GraphQL APIs with scalable architecture
▷. Authentication, billing (Stripe), and subscriptions
▷. Real time dashboards and analytics systems
▷. Backend systems
𝗟𝗲𝘁'𝘀 𝗰𝗵𝗮𝘁 𝗮𝗻𝗱 𝗴𝗲𝘁 𝘀𝘁𝗮𝗿𝘁𝗲𝗱. | 𝗜𝗱𝗲𝗮 → 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 → 𝗴𝗿𝗼𝘄𝘁𝗵
🔹𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱: Next.Js, React, TypeScript, Angular
🔹𝗕𝗮𝗰𝗸𝗲𝗻𝗱: Node.js, NestJs, Python
🔹𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲: PostgreSQL, MongoDB
🔹𝗖𝗹𝗼𝘂𝗱: AWS, Vercel, Docker
🔹𝗢𝘁𝗵𝗲𝗿: REST APIs, Stripe, Git
𝗔𝗜 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲
✓ OpenAI API integration (GPT-based systems)
✓ Claude API integration
✓ Prompt engineering & context management
✓ RAG systems (retrieval-augmented generation)
✓ AI workflows and automation pipelines
✓ Real-time AI response systems
Steps for completing your project
After purchasing the project, send requirements so Munib can start the project.
Delivery time starts when Munib receives requirements from you.
Munib works on your project following the steps below.
Revisions may occur after the delivery date.
Define evaluation criteria and scoring logic
Build RAG knowledge base (vector database)