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burhanhussain1

Burhan Hussain

@burhanhussain1

AI Engineer for LLM Agents, RAG, MCP and Full Stack AI Apps

Pakistan
English, Urdu
About me
I'm an AI Engineer who builds production AI systems, not just demos. I have 3+ years in AI engineering, and today I build multi-tenant agent platforms for a US SaaS product: LangGraph/DeepAgents agents with 48+ tools, hybrid RAG with citations, real-time voice AI (LiveKit, Deepgram, ElevenLabs), MCP and A2A integrations, and FastAPI backends shipped with Docker, CI/CD and Langfuse. I also fine-tune LLMs (Qwen, LoRA/QLoRA). I can build your chatbot, AI agent, RAG assistant, MCP server or full web app end to end. Message me your idea and I'll suggest the simplest solution that works.... Read more

Skills

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burhanhussain1
Burhan Hussain
Offline • 

See my services

AI Chatbot Development
I will build a custom ai agent or chatbot with langgraph and openai
From$50 / projectMore details
AI Chatbot Development
I will build a rag chatbot to chat with your documents and knowledge base
From$60 / projectMore details

Portfolio

Work experience

AirCod_Technologies

AirCod Technologies

Full-time • 3 yrs 8 mos

AI Engineer

Jun 2024 - Present • 2 yrs 5 mos

Build multi-tenant AI agent platforms for a US telecom/ISP SaaS product (billing, support, ticketing, scheduling, orders) across chat, voice, SMS and WhatsApp. • Re-architected a multi-agent system into a LangGraph/DeepAgents master agent with on-demand skills, cutting token use and latency. • Built 48 domain tools and 16 workflows integrating REST APIs, RPA and Stripe. • Fine-tuned Qwen (LoRA/QLoRA) for intent classification: 93% accuracy, 89% F1. • Built low-latency real-time voice AI with LiveKit, Deepgram, ElevenLabs and the OpenAI Realtime API. • Implemented A2A protocol and MCP tool serving for a no-code agent builder. • Shipped Dockerized services with CI/CD and Langfuse observability.

Junior AI Engineer

Feb 2023 - May 2024 • 1 yr 3 mos

Part-time role alongside my Computer Science degree. • Built Python and FastAPI backend services and API integrations for AI features. • Trained and evaluated machine learning and NLP models. • Worked on data preparation, testing and deployment with the engineering team.