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Fiverr Pro
English
$
USD
I will build a production grade ai saas mvp with python, react nextjs
Mudassir
Level 2
About this gig
Is your AI idea stuck in "Demo Mode"? Let's turn it into a scalable business.
I build Production-Grade AI SaaS Platforms engineered to handle real users, recurring payments, and complex agentic workflows.
I combine deep Machine Learning expertise (PyTorch/TensorFlow) with high-performance Full-Stack engineering to deliver applications that are secure, fast, and investor-ready.
The "Performance-First" Tech Stack:
- The Brain (AI): Advanced LangChain & LangGraph workflows with VectorDB for hallucination-free agents.
- Backend: Python FastAPI chosen for its asynchronous speed, essential for handling concurrent AI requests without lag.
- Frontend: React.js & Next.js 14 for a pixel-perfect, SEO-optimized, and responsive user experience.
- The Scale: Fully containerized (Docker) and cloud-ready (AWS/GCP), ensuring you own your infrastructure 100%.
️ What I Build:
- Custom AI SaaS: Subscription-based platforms (Micro-SaaS) integrated with Stripe.
- Enterprise RAG Systems: Secure "Chat with your Data" tools for law firms, HR, and finance.
- Autonomous Agents: Langchain multi agents.
️Every AI project is unique. Please message me before ordering so we can scope your architecture correctly.
Get to know Mudassir
Mudassir
Full Stack AI Engineer
Level 2
- FromPakistan
- Member sinceJul 2023
- Avg. response time5 hours
- Last delivery5 days
Languages
Urdu, English, Turkish
AI/Deep Learning specialist providing transformative solutions with LLMs & advanced AI chatbots. Experience in GPT, Llama, Falcon, LangChain models. Expertise in NLP tasks via Hugging Face Transformers, BERT, & GPT models. Proven skills in TensorFlow, Keras, OCR, Image & Signal Classification. Let's leverage AI to redefine your business interactions!
My Portfolio
Other AI Development Services I Offer
FAQ
Why do you use FastAPI instead of Django/Flask?
FastAPI is significantly faster and supports "asynchronous" operations natively. This is critical for AI apps where multiple users might be waiting for an LLM response simultaneously. It ensures your app doesn't freeze under load.
Do I own the source code?
Yes, 100%. Upon delivery, I transfer the full GitHub repository to you. You have full intellectual property rights.
Can you integrate subscriptions (Stripe)?
Yes. The Premium package includes full Stripe integration, allowing you to charge users monthly/yearly for access to your AI tool.
Do you use no-code tools?
No. I write custom, scalable code using industry-standard frameworks (React/Python). This ensures you are never limited by a platform's restrictions.
What are the hosting costs?
I optimize for efficiency. A typical MVP can be hosted on a VPS (like Hostinger , DigitalOcean or AWS Lightsail) for as little as $20-$40/month.
Can you sign an NDA?
Absolutely. Your intellectual property and data privacy are my top priority. I am happy to sign an NDA before we begin.
Can the AI Agent perform actions, not just chat?
Absolutely. Using LangGraph and function calling, I can build agents that autonomously browse the web, send emails, query your CRM, or generate reports. We will define a strict "toolset" that the AI is allowed to use to ensure safety.
Can we use Open Source models (Llama 3 / Mistral) to save on API costs?
Yes. While I recommend OpenAI/Claude for complex reasoning, I can deploy local LLMs (via Ollama or vLLM) on your cloud server. This eliminates per-token fees and keeps 100% of your data private, which is ideal for high-volume internal tools.
My data is messy (scanned PDFs, handwritten notes, complex Excel sheets). Can the AI read it?
Yes. I use advanced OCR (Optical Character Recognition) and parsing pipelines to clean and structure your data before feeding it to the AI. The quality of the AI depends on the quality of the data processing, which is my specialty.
I need the AI to handle a very long workflow (e.g., "Write a book" or "Research a market"). Can it do that?
Standard chatbots fail at long tasks. I use LangGraph to break complex goals into small steps (Plan -> Research -> Draft -> Review). The AI loops through these steps autonomously until the task is complete.
