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English
$
USD
I will build advanced ai agents, rag apps, llm chatbots and genai solutions ai website
Manwani Dev
About this gig
Tired of generic AI that hallucinates or forgets context?
I build production-ready advanced AI agents, RAG-powered apps, custom LLM chatbots, and GenAI solutions that give accurate, grounded, intelligent results using your data, no fluff.
As a full-stack developer specializing in 2026 AI tech, I deliver scalable, fast systems for businesses, startups & creators.
What You'll Get:
- Advanced AI Agents: Autonomous, tool-using agents (reasoning, memory, APIs, multi-step tasks) with LangGraph/CrewAI
- RAG Apps: Chat with PDFs, docs, websites/databases hallucination-free answers via LangChain/LlamaIndex + Pinecone/Chroma
- Custom LLM Chatbots: Smart, multi-turn bots powered by OpenAI/GPT-4o, Groq, Claude, Llama/Mistral add voice/personality
- GenAI Solutions: Fine-tuned models, multimodal AI, automation workflows, full deployments (Vercel/AWS)
Why Me?
- 100% custom, clean code (no templates)
- Fast turnaround + revisions until perfect
- Real projects: knowledge bots, e-com agents, automations
- Source code + docs handed over
Simple Process:
- Share your idea/data
- I plan & pick best stack
- Build, test, refine with you
- Deploy & support
Message me your needs let's build something epic!
Get to know Manwani Dev
Manwani Dev
Full Stack Website Developer React Next js and Laravel PHP
- FromPakistan
- Member sinceOct 2025
- Last delivery4 months
Languages
Urdu, Hindi, English, German, French
Hello! I’m Dev Manwani, a dedicated Full-Stack Developer with five years of experience transforming business concepts into tangible digital solutions. I create software driven by AI, contemporary websites, and web applications that are efficient, responsive, and user-friendly. I engage in both frontend and backend development utilizing technologies such as React, Node.js, and Laravel. From designing seamless, intuitive interfaces with HTML, CSS, Tailwind, and Bootstrap to building secure and scalable APIs and databases, I ensure everything functions beautifully both behind the scenes and in
My Portfolio
FAQ
What is RAG and why use it for my chatbot?
RAG (Retrieval-Augmented Generation) makes your LLM chatbot accurate by pulling real info from your PDFs/docs/websites — no hallucinations, grounded answers every time.
What data do I need for a RAG app or custom LLM chatbot?
Just share PDFs, docs, URLs, databases, or files. I handle embedding, vector DB (Pinecone/Chroma), and retrieval setup.
Do you build advanced AI agents with tools/memory?
Yes — autonomous AI agents with reasoning, multi-step tasks, tools (APIs/web), and memory using LangGraph or similar.
Which LLMs/models do you use?
OpenAI (GPT-4o), Groq, Claude, Llama/Mistral (Ollama for local/privacy), or fine-tuned ones — whatever fits your needs/budget.
