MH

Muhammad Hamza

AI Engineer — Agentic AI · RAG · LLM Orchestration

Agentic AI Specialist

I build intelligent agents and RAG systems

I'm an AI Engineer specializing in multi-agent orchestration, retrieval-augmented generation, and production-ready LLM applications. I design supervisor–worker agent patterns, tool-calling integrations, and resilient event-driven workflows.

Hire Me View Projects
Location
Rawalpindi, Pakistan
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GitHub
Hamzajani153

Core Expertise

  • LangChain · LangGraph · LlamaIndex
    Function calling & agent orchestration
  • RAG & Vector Search
    Pinecone, FAISS, ChromaDB
  • Multi-agent Orchestration
    Supervisor–Worker patterns & tool-calling
  • Backend Development
    FastAPI · Docker · AWS (EC2, S3, SageMaker)
  • Computer Vision
    PyTorch · TensorFlow · YOLOv8 · Detectron2

Skills & Technologies

My technical expertise spans across AI agent frameworks, RAG systems, and full-stack development

AI & Machine Learning

LangChain & LangGraph 95%
RAG Systems (Pinecone, FAISS, ChromaDB) 90%
Multi-agent Orchestration 92%
OpenAI API & Function Calling 95%
PyTorch & TensorFlow 85%

Development

Python 95%
FastAPI & Flask 90%
Docker & AWS 85%
JavaScript 45%
Git & CI/CD 80%
Python LangChain LangGraph LlamaIndex OpenAI Pinecone FAISS ChromaDB FastAPI Docker AWS PyTorch TensorFlow YOLOv8 Detectron2

Featured Projects

Showcase of my work in Agentic AI, RAG systems, and applied machine learning

RAG System

Research Pal

Advanced RAG assistant for academic research with semantic search and context injection.

Tech Stack: LangChain, Pinecone, ChromaDB, OpenAI, FastAPI, AWS
  • Semantic retrieval with context injection and multi-turn reasoning
  • Hybrid search (semantic + keyword) to minimize hallucination
  • Scaled embeddings storage and optimized retrieval
Multi-Agent System

Doojo AI — Voice Chatbot

LangGraph · AI Agent SDK

Multi-agent voice assistant with supervisor–worker orchestration for complex tasks.

  • Supervisor decomposes goals; workers handle retrieval, scheduling and API calls
  • Integrated STT/TTS pipeline; retries & fallback routes for tool failures
  • Persistent memory and session trimming for long conversations
Conversational AI

Drake AI — Enterprise System

LangChain · LlamaIndex

RAG-backed conversational platform with persistent memory for enterprise use cases.

  • Dynamic task chaining and structured tool outputs
  • Failover prompts and guardrails for edge-case handling
  • Integration with enterprise systems and knowledge bases
Computer Vision

Anna — Computer Vision Platform

End-to-end platform for annotating, training, and deploying computer vision models.

  • End-to-end annotation tool and model training workflows
  • Instance segmentation and detection with deployment-ready pipelines
  • Real-time inference and visualization capabilities
Video AI

AI Video Generation — YouTube to Shorts

Deepgram · MoviePy · OpenAI

AI system that transforms YouTube videos into viral shorts based on virality prediction.

  • Analyzed YouTube video transcripts using Deepgram for STT
  • Identified high-virality clips using LLM reasoning + heuristics
  • Generated short viral-ready clips with captions and audio
View More on GitHub

Professional Experience

My journey building AI solutions and agent-based systems

Current

AI Engineer

AIOBC

Jan 2025 - Present

  • Developed voice-enabled chatbots with supervisor-worker agent patterns
  • Implemented tool-calling capabilities and multi-agent orchestration
  • Built RAG workflows with advanced retrieval and context injection
  • Integrated computer vision pipelines for real-time inference

AI Engineer

Infini8AI

Jun 2024 - Sep 2024

  • Implemented LangChain & LlamaIndex based RAG systems
  • Architected FastAPI backends for AI applications
  • Deployed cloud-based chatbots on AWS infrastructure

AI Intern / Developer

SoftwiseSolution

May 2023 - May 2024

  • Built CV models (YOLOv8, Mask R-CNN) for object detection
  • Developed training pipelines and data augmentation workflows
  • Created real-time detection systems for production use

Client Testimonials

What people say about working with me

❝

"Muhammad's expertise in LangChain and LangGraph was instrumental in bringing our multi-agent AI system to life. His deep understanding of agent orchestration patterns made our complex workflows reliable and performant."

MU

Muhammad Uzair

CTO, Octaloop

❝

"We hired Hamza to implement a RAG system for our enterprise knowledge base. His attention to detail and ability to optimize retrieval quality transformed our customer support operations. Highly recommended!"

HA

Haseeb Ahmed

CEO, AIOBC

❝

"Working with Hamza on our voice assistant project was a game-changer. His implementation of supervisor-worker patterns and robust error handling made our AI system reliable even in challenging scenarios."

AS

Ali Saqib

Lead Developer, AIOBC

❝

"Hamza's computer vision expertise helped us build an end-to-end annotation and training platform. His attention to creating deployment-ready pipelines saved us months of engineering time."

AQ

Dr. Aqib

Founder & CEO, SoftwiseSolution

Let's Connect

Open for contract and full-time roles in Agentic AI, LLMs, and RAG projects

Get in Touch

Contact Information

LinkedIn

Connect with me

GitHub

Hamzajani153

Location

Rawalpindi, Pakistan

Quick Pitch

"I'm an AI Engineer with hands-on experience building agentic AI systems, RAG pipelines, and multi-agent orchestration. I build production-ready prototypes and integrate with cloud services and external APIs. Ready for technical tests and demos."