You will get No‑Code MVP → React/Next.js (custom) + Supabase/Firebase Full‑Stack Rebuild
Project details
Have an MVP built in Lovable, Durable, Replit, Cursor/Bolt or another no‑code/low‑code tool and now need a custom, scalable, production‑ready version? I will rebuild and harden your product as a full‑stack React/Next.js (MERN or any other framework of choice) application with a real database (Supabase, Firebase, MongoDB), secure APIs (Node.js/Express) and automated deployment (Vercel, Netlify, AWS)
You'll get Clean, maintainable codebase removing platform limits, improved security & performance and full ownership (IP, source control, extensibility) to scale faster:
• Backend & Database: Node APIs, Supabase or Firebase (auth, storage, RLS/security rules) or MongoDB/Postgres with Prisma
• Auth & roles: Email/OAuth/Social via NextAuth/Auth0; protected routes
• Core features migrated: all flows replicated from your MVP (CRUD, forms, file uploads, real‑time, webhooks).
• Integrations: Stripe payments, email, maps, third‑party APIs
• DevOps: GitHub repo, CI/CD, environment variables, staging/prod, logging & error monitoring
• Performance & SEO: image optimization, metadata, Open Graph
• Documentation & handover: README, scripts, architecture notes, and a short loom walkthrough
You'll get Clean, maintainable codebase removing platform limits, improved security & performance and full ownership (IP, source control, extensibility) to scale faster:
• Backend & Database: Node APIs, Supabase or Firebase (auth, storage, RLS/security rules) or MongoDB/Postgres with Prisma
• Auth & roles: Email/OAuth/Social via NextAuth/Auth0; protected routes
• Core features migrated: all flows replicated from your MVP (CRUD, forms, file uploads, real‑time, webhooks).
• Integrations: Stripe payments, email, maps, third‑party APIs
• DevOps: GitHub repo, CI/CD, environment variables, staging/prod, logging & error monitoring
• Performance & SEO: image optimization, metadata, Open Graph
• Documentation & handover: README, scripts, architecture notes, and a short loom walkthrough
Programming Languages
HTML & CSS, JavaScript, PythonCoding Expertise
Cross Browser & Device Compatibility, PSD to HTML, Performance OptimizationWhat's included
| Service Tiers |
Starter
$1,000
|
Standard
$6,000
|
Advanced
$15,000
|
|---|---|---|---|
| Delivery Time | 3 days | 15 days | 30 days |
Number of Revisions | 1 | 3 | Unlimited |
Design Customization | - | ||
Content Upload | - | ||
Responsive Design | - | - | |
Source Code | - | - |
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Apr 20, 2026
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Mar 27, 2025
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Ehtisham delivered great work, was very cooperative and maintained a high level of professionalism throughout our collaboration. It was a pleasure working with him and I look forward to the chance to collaborate with Ehtisham again on upcoming projects.
NB
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Reliable and hard-working. Went above and beyond to deliver a satisfactory product.
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Very seamless transaction.
About Ehtisham
AI Agent & ML Developer | LLM | Claude | RAG | Python | Automation
100%
Job Success
Lahore, Pakistan - 1:22 am local time
I build the 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀, 𝗟𝗟𝗠 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀, and 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 that solve that problem. These are not experiments. They are production systems your business can depend on.
With 8+ years in software development and a focused practice in applied AI, I help businesses deploy AI agents, fine tune language models, build retrieval systems, and automate intelligent workflows from the first prototype through production deployment.
𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀
→ Autonomous agents with tool use, memory, multistep planning, and self correction using LangChain, LangGraph, CrewAI, and AutoGen
→ Multi agent systems where specialist agents collaborate, delegate, and complete complex workflows from start to finish
→ Voice AI agents for real time call handling, transcription, and response using Whisper, ElevenLabs, and streaming pipelines
→ Agentic RAG systems that retrieve, reason, and act using knowledge base context
𝗟𝗟𝗠 𝗮𝗻𝗱 𝗥𝗔𝗚 𝗦𝘆𝘀𝘁𝗲𝗺𝘀
→ LLM integration using OpenAI GPT 4o, Claude, Gemini, and Mistral across web applications, APIs, Slack bots, and internal tools
→ Complete retrieval augmented generation pipelines using LangChain, LlamaIndex, Pinecone, Weaviate, Chroma, and Qdrant
→ LLM fine tuning using PEFT, LoRA, and QLoRA on LLaMA 3, Mistral, and Falcon with HuggingFace and Unsloth
→ Prompt engineering and evaluation covering benchmark design, hallucination testing, and reasoning optimization
𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴
→ Machine learning models for classification, regression, anomaly detection, and recommendations using scikit learn, XGBoost, PyTorch, and TensorFlow
→ NLP systems for text classification, sentiment analysis, NER, summarization, semantic search, and embeddings
→ Deep learning solutions using CNNs, transformers, LSTMs, and custom neural architectures
→ Model deployment using FastAPI, Docker, AWS SageMaker, RunPod, and HuggingFace Spaces
𝗣𝘆𝘁𝗵𝗼𝗻 𝗮𝗻𝗱 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻
→ Python scripts for data processing, file handling, scraping, reporting, and scheduled tasks
→ API and webhook integrations that connect AI outputs with CRMs, databases, and business tools
→ Workflow automation using n8n, Zapier, and Make to connect AI systems with the rest of your technology stack
𝗥𝗲𝗰𝗲𝗻𝘁 𝗪𝗼𝗿𝗸
✅ AI voice receptionist handling more than 1,000 inbound calls with natural conversation, lead qualification, and appointment booking
✅ Document intelligence pipeline for insurance that reduced manual data entry by more than 70%
✅ Enterprise RAG knowledge base deployed on Slack with source cited answers across more than 500 internal documents
✅ Custom fine tuned Mistral 7B model for domain support that outperformed a GPT 4 baseline on product specific questions
✅ Multi agent lead research system that reduced prospect research time from 45 minutes to 90 seconds per lead
𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗦𝘁𝗮𝗰𝗸
Python · LangChain · LlamaIndex · LangGraph · CrewAI · AutoGen · OpenAI API · Claude API · HuggingFace · PyTorch · TensorFlow · Pinecone · Weaviate · ChromaDB · FastAPI · Docker · AWS SageMaker · Whisper · ElevenLabs · n8n · Zapier · Make
If you are building an AI agent, a fine tuned model, a RAG system, or an intelligent automation, message me. I will recommend the right technical approach for your use case.
AI Agent Development · Machine Learning · LLM · RAG Systems · Python · LangChain · Deep Learning · NLP · HuggingFace · OpenAI · LLM Fine Tuning · LlamaIndex · Pinecone · CrewAI · AutoGen · LangGraph · Workflow Automation · API Integration · Voice AI · Data Science
Steps for completing your project
After purchasing the project, send requirements so Ehtisham can start the project.
Delivery time starts when Ehtisham receives requirements from you.
Ehtisham works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff & MVP audit
Review MVP, scope, risks, and success metrics.
Architecture & data model
Plan React/Next.js structure, DB schema, APIs, auth.