I will build rag chatbots and genai applications using langchain

A
aimanmalik0202
A
aimanmalik0202
Aiman M

About this gig

I build custom GenAI applications and RAG-based chatbots that don't just talk they retrieve and reason over your actual documents and data, grounding every response in your own knowledge base.

What I offer:

I design RAG architectures using LangChain that minimize hallucination and deliver accurate, context-aware responses. This covers vector database setup, semantic search integration, prompt engineering, and deployment via FastAPI/Flask so your chatbot works as a real, usable application not just a demo. I'm flexible with tools and can work with the LLM provider or vector database of your choice based on your project needs and budget.

I've built systems ranging from a real-time conversational chatbot deployed on Telegram to a full RAG-based medical chatbot with semantic search and low-latency inference.

Why work with me:

  • Full-stack delivery not just a model in a notebook, but a working, deployable system
  • Experience with real production pipelines, not just tutorials
  • Clear communication and realistic timelines

Get to know Aiman M

Aiman M

AI Engineer

  • FromPakistan
  • Member sinceJul 2026
  • Languages

    Urdu, English
AI/ML Engineer specializing in Computer Vision & GenAI. I build production-grade systems: CCTV compliance pipelines for intoxication/violence detection (YOLO, pose estimation, MLP classifiers), RAG chatbots (LangChain, Pinecone, Groq), and custom ML models end-to-end. Comfortable across the full stack — FastAPI/Flask, HuggingFace, OpenAI/Gemini/Llama APIs, AWS Bedrock, Vertex AI, GitHub Actions CI/CD. I turn messy real-world data and footage into reliable, deployed AI — not just notebooks. Let's build something that actually works in production.