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FullStack web developer
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FullStack web developer
9 followers · 10 following

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Achievement: Pull Sharkx2Achievement: YOLO

Achievements

Achievement: Pull Sharkx2Achievement: YOLO

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Hamzakhan001/README.md

Hamza Khan

Generative AI Engineer building production-minded RAG and agentic systems

Portfolio LinkedIn Email

I build production-style AI systems focused on RAG, evaluation, agentic workflows, observability, and full-stack delivery.

At a glance

Focus What I build
RAG Systems Grounded retrieval pipelines with measurable quality
Agentic AI Tool-connected workflows with memory, routing, and review
Evaluation Faithfulness, relevancy, context recall, regression checks
Observability Tracing, metrics, structured logs, auditability
Delivery FastAPI, Next.js, AWS, Postgres, Pinecone

Featured Projects

1. Production RAG System

Repo Live Demo

Production-oriented RAG application built with FastAPI, OpenAI, Pinecone, Ragas, Prometheus, Grafana, and AWS.

Key outcomes

  • 0.78 faithfulness
  • 0.62 answer relevancy
  • 0.75 context recall
  • deployed on AWS with observability and offline evaluation

What it shows

  • grounded answer generation
  • retrieval vs generation evaluation separation
  • production-style monitoring and benchmarking

2. Agentic Legal Review Backend

Repo

Production-style legal review backend built with FastAPI, LangGraph, Postgres, Pinecone, and Phoenix.

Key outcomes

  • multi-agent orchestration
  • human-in-the-loop approval and revision
  • Postgres-backed workflow persistence
  • offline evaluation and trace-based debugging

What it shows

  • agentic workflow design
  • persistent review state
  • retrieval + orchestration + observability

Core Strengths

RAG & Retrieval           ██████████  High
LLM Evaluation            █████████░  Strong
Agentic Workflows         █████████░  Strong
Observability             ████████░░  Strong
Full-Stack AI Delivery    █████████░  Strong

Pinned Loading

  1. agentic-ai-system agentic-ai-system Public

    Production-style multi-agent legal review backend with LangGraph, FastAPI, Pinecone, Postgres, Phoenix tracing, human-in-the-loop review, and offline evaluation.

    Python

  2. miniature-octo-funicular miniature-octo-funicular Public

    🚀 Production RAG System Enterprise RAG platform with guardrails, evaluation, and observability. 🎯 Features Hybrid search + LangGraph agents Multi-layer guardrails with PII protection RAGAS evaluati…

    Python

  3. Legal-case-assistant-agent Legal-case-assistant-agent Public

    A production-grade AI legal assistant built with the OpenAI Agents SDK, LiteLLM, and GPT-4o. This project demonstrates how to move beyond stateless chatbots and build agents that genuinely know the…

    Jupyter Notebook

  4. MultiAgent-AI-System MultiAgent-AI-System Public

    Jupyter Notebook

  5. RAG-Production-Pipelines RAG-Production-Pipelines Public

    Jupyter Notebook

  6. network-security-mlops network-security-mlops Public

    Python