MH

Muhammad Hamza

AI/ML Engineer — LLM · RAG · Agentic AI

LLM · RAG · Agentic AI

I build agentic AI and RAG systems

AI/ML Engineer with multiple years of experience building LLM, RAG, and agentic AI systems across computer vision, NLP, and voice AI. Skilled in prompt engineering and multi-agent orchestration using LangChain, LangGraph, and MCP, with experience automating workflows in n8n and shipping projects from raw data through to cloud deployment on AWS.

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Mobile
0312-5691520
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GitHub
Hamzajani153

Core Expertise

  • LangChain · LangGraph · MCP
    Multi-agent orchestration & tool-calling
  • RAG & Vector Search
    Semantic retrieval over large document collections
  • Voice AI
    VAPI, LiveKit, Twilio, ElevenLabs, Deepgram
  • Computer Vision
    YOLO, Detectron2, Mask R-CNN, Faster R-CNN
  • Workflow Automation
    n8n pipelines, AWS/Azure deployment, MLOps

Skills Summary

Technical range across LLM/GenAI, classical ML, computer vision, and cloud deployment

LLM & GenAI

LangChain & LangGraph95%
RAG & Vector Databases93%
Agentic AI & MCP92%
Prompt Engineering95%
LlamaIndex85%

ML/DL & Backend

Python / C++95%
PyTorch, TensorFlow, Scikit-Learn88%
FastAPI, Flask, Streamlit90%
SQL / NoSQL / PostgreSQL85%
Docker, MLflow, DVC82%
Python C++ LangChain LangGraph LlamaIndex MCP RAG Agentic AI Vector Databases PostgreSQL FastAPI Flask Streamlit OCR PyTorch TensorFlow Scikit-Learn Hugging Face YOLO AWS Azure Docker MLflow DVC LiveKit Twilio VAPI n8n

Key Projects

RAG systems, agentic AI platforms, voice AI, and computer vision

Research Pal screenshot
RAG System

Research Pal

LangChain · Vector DB

RAG-based research assistant that extracts insights from academic papers.

  • Context-aware retrieval powering natural-language Q&A over large document collections
  • LangChain paired with a vector database for literature review workflows
Travel Planner screenshot
Agentic AI

Travel Planner

LangGraph · MCP

Multi-agent trip-planning platform with an orchestrator delegating to specialized agents.

  • Orchestrator delegates work to Flight, Hotel, Budget, and Search agents
  • MCP lets agents discover and call the right tools at runtime
  • Itinerary agent consolidates outputs; PostgreSQL-backed checkpointing for memory
Automated Viral Video Pipeline screenshot
Automation

Automated Viral Video Pipeline

n8n · FFmpeg

n8n workflow that turns long YouTube videos into short, ready-to-post clips.

  • Pulls source video via RapidAPI, splits into chunks with FFmpeg
  • Vision model captions clips; OpenAI model generates titles and tags
  • Automatic upload with thumbnail
Anna CV Platform screenshot
Computer Vision

Anna — CV Training Platform

YOLO · Detectron2

Annotation tool and end-to-end ML training platform for detection and segmentation.

  • Supports YOLO, Detectron2, Mask R-CNN, and Faster R-CNN
  • Upload, annotate, and train custom models without external dependencies
Doojo AI screenshot
Voice AI

Doojo AI — Voice Agent Platform

VAPI · ElevenLabs · Deepgram

Voice-enabled AI assistant with orchestrated agents and tool-calling.

  • Tool-calling for availability checks and appointment scheduling
  • VAPI, ElevenLabs, Deepgram, and open-source TTS/STT tuned for low latency
Credit Risk Modeling screenshot
Classical ML

Credit Risk Modeling

Python · Scikit-Learn

Full ML pipeline on real banking data: cleaning, feature selection, and model comparison.

  • Systematic comparison of classification algorithms in Python
  • Analyzed why different algorithms produced different outcomes; presented findings to faculty

Professional Experience

Building LLM, RAG, and agentic AI systems in production

Current

AI Engineer

Z Square Solutions (Pvt) Ltd.

Jan 2025 - Present · Rawalpindi, Pakistan

  • Built a document retrieval system for natural-language search over large unstructured collections, focused on genuine semantic relevance rather than surface scoring
  • Built agentic AI systems where multiple specialized agents collaborate on complex, multi-step tasks
  • Built a voice assistant for customer queries and appointment booking, and a medical chatbot for patient triage
  • Worked on a computer vision training platform for smoke detection, medical imaging, and infrastructure monitoring
  • Worked across ML, DL, NLP, and CV in the same production environment, including OCR-based pipelines

Junior AI Engineer

Z Square Solutions (Pvt) Ltd.

Aug 2024 - Dec 2024 · Rawalpindi, Pakistan

  • Built RAG-based and GenAI systems, including client-facing demos showing practical use cases
  • Worked on a credit risk modeling problem, comparing classification algorithms on real banking data
  • Promoted to AI Engineer based on project delivery

Intern → Software Developer

Soft Wise Solutions

Sep 2023 - Jul 2024 · Rawalpindi, Pakistan

  • Worked with the AI team on object detection, classification, and tracking using YOLO and related libraries
  • Experimented with open-source Hugging Face models (Flux, Stable Diffusion) for image generation
  • Built RAG-based systems using OpenAI, Claude, and Gemini models with vector databases

Education

Bachelor of Science in Computer Science

PMAS Arid Agriculture University Rawalpindi

05/10/2020 – 01/08/2024 · Rawalpindi, Pakistan

Final Year Project — IntelliRoom+: An IoT and computer vision system built to automate an entire room, using facial recognition to identify the user on entry and pairing with an app to control every device from there.

Certifications

Machine Learning with Python (V2)

Coursera

Foundations of Project Management

Google (Coursera)

Let's Connect

Open for roles and contract work in LLM, RAG, and Agentic AI projects

Get in Touch

Contact Information

Mobile

0312-5691520

Location

Rawalpindi, Pakistan

Quick Pitch

"AI/ML Engineer with multiple years of experience building LLM, RAG, and agentic AI systems across computer vision, NLP, and voice AI. Skilled in prompt engineering and multi-agent orchestration using LangChain, LangGraph, and MCP, with experience taking projects from raw data through to cloud deployment on AWS."