I will develop generative ai, agentic systems, and rag chatbots


About this gig
Bring Your AI Vision to Life with Production-Grade Agents, Custom RAG, and LLM SaaS Solutions
Looking to move past basic chat wrappers and build autonomous, high-performance AI systems? I am a Generative AI Engineer specializing in production-grade multi-agent workflows, sub-second inference applications, and advanced RAG pipelines.
Whether you need to automate complex business workflows or launch a full-scale AI SaaS, I deliver enterprise-ready architectures.
What I Build:
- Agentic AI & Multi-Agent Workflows: Autonomous decision-making networks using LangGraph, LangChain, and CrewAI.
- Advanced RAG & Document Intelligence: Smart PDF/document chatbots using FAISS, vector databases, and highly optimized retrieval systems.
- High-Speed AI SaaS Platforms: Full-stack AI applications combining lightning-fast inference (Groq LPU) with robust backends (FastAPI, Django, Next.js).
- Intelligent Automation & OCR: Merging Computer Vision (OpenCV, Tesseract) with LLMs for automated financial auditing and parsing.
Let's transform your workflow with cutting-edge, safe, and scalable AI architectures. Contact me today to discuss your project!
Get to know Sana Nasir
AI Developer, Generative AI, Agentic Systems, RAG Specialist, Build Solutions
- FromPakistan
- Member sinceJul 2025
- Avg. response time5 hours
Languages
Urdu, English
My Portfolio
FAQ
What is Agentic AI?
Unlike basic chat bots, Agentic AI uses LangGraph to build autonomous agents that reason, use tools (like web search), and collaborate to execute complex business workflows without manual intervention.
Can you build an AI for my private files?
Yes. I build secure Retrieval-Augmented Generation (RAG) pipelines using FAISS and models like Llama 3.3 or Gemini. Your data is protected with strict safety guardrails and secrets management.
How do you ensure fast AI responses?
I optimize performance engineering using Groq LPUs to achieve sub-second response times, paired with lightweight FastAPI backends to eliminate latency issues.
Can your AI extract data from scanned PDFs or receipts?
Yes. I combine Computer Vision (OpenCV + Tesseract OCR) with LLMs like Mistral to extract, clean, and analyze raw financial or text data automatically.
What is your full-stack AI tech stack?
I use Next.js/TypeScript for frontends, FastAPI/Django for backends, LangGraph for AI orchestration, and Docker for secure cloud deployment.

