Available for AI engineering opportunities

Hassan Abid

I build agentic AI systems

AI Engineer focused on production-ready LLM applications, RAG pipelines, and multi-agent workflows that connect models, data, tools, and users with measurable reliability.

20+Projects
30+Repos
10+Agents

About Me

I'm an AI Engineer & LLM Specialist building systems that go beyond simple prompt-response cycles.

My work centers on autonomous AI systems: specialised agents that use tools, reason over data, and complete practical workflows end to end. I care about clean architecture, strong evaluation loops, and interfaces that make powerful AI feel usable.

Currently focused on compound AI systems, RAG quality, model evaluation, and containerized services for real users.

Intelligence Stack

Agentic Orchestration

LangChain, LangGraph, Google ADK, CrewAI, MCP

LLM & Vector Ops

LiteLLM, Groq, OpenAI, RAGAS, Qdrant

Production APIs

FastAPI, Docker, WebSockets, REST services

Core Build

Python, JavaScript, SQL, Streamlit, Linux

Technical Skills

Core AI Engineering

Python95%
LLM Engineering90%
RAG Pipeline Design88%
Multi-Agent Systems85%

Production Tooling

FastAPI / REST APIs88%
Docker & Deployment85%
Vector Databases82%
MLOps & Evaluation75%
Python Docker JavaScript FastAPI Qdrant Groq OpenAI

Featured Projects

Hand-picked AI engineering projects from autonomous agents to full-stack AI applications.

Featured

ADK Negotiating Agent

A multi-agent retail system with FastAPI, WebSockets, LiteLLM, MCP mock servers, real-time chat, negotiation, inventory, and checkout workflows.

Multi-AgentFastAPILiteLLMDocker
View Repository
AI Content

Multi-Agent Content Studio

An agentic content engine using Groq, DuckDuckGo Search, and Streamlit to research, draft, and optimise long-form SEO content.

Agentic AIGroqStreamlitSEO
View Repository
Full Stack

AI Image Gen FullStack

A containerized text-to-image application using Pollinations AI and Streamlit with prompt controls, style options, and Docker deployment.

Generative AIStreamlitDocker
View Repository
Research AI

Research Agent Pro

An autonomous research agent for information gathering, extraction, multi-step reasoning, and structured report synthesis.

Autonomous AgentTool CallingResearch
View Repository

How I Build

01

Problem framing

Define users, metrics, data boundaries, and failure modes before selecting tools.

02

LLM architecture

Design RAG, memory, tool-calling, routing, and agent graphs around the workflow.

03

Evaluation loop

Add test prompts, retrieval checks, hallucination review, and observable traces early.

04

Production delivery

Ship with FastAPI, Docker, monitoring-friendly APIs, and clean UI surfaces.

Get In Touch

Have a project idea, collaboration proposal, or role to discuss? Send a message.

Let's build something useful.

I'm open to AI projects, autonomous agent architectures, RAG applications, and AI/ML opportunities.