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Machine Learning

Hamza Ali, AI Engineer — ENGINEER

Portrait of Hamza Ali

Welcome to My Portfolio

Explore my work, research and production AI systems — 3+ years building and deploying end-to-end machine learning solutions for clients across international markets.

About Me

Discover the Story, Passion, and Purpose Behind the Engineer Building Intelligent Systems

I'm an AI Engineer with 3+ years of production experience designing and deploying end-to-end machine learning systems across international markets. I build scalable ML pipelines, generative AI applications and real-time data systems — taking ideas all the way from experimentation to cloud deployment.

I'm also a published researcher in 3D point cloud analysis, and I love translating cutting-edge research into high-impact, data-intensive products — from multilingual voice agents and RAG systems to real-time crypto signals and government media monitoring.

The Engineering Mind That BuildsThe Future of Intelligent Systems

  • Years of Experience

    Production ML engineering across three companies and remote international clients.

  • Production AI Projects

    From voice agents and RAG systems to real-time signal platforms.

  • Research Publications

    Published in the International Journal of Innovations in Science and Technology.

  • Cryptocurrencies Covered

    Real-time signal generation at up to 75% production precision.

Hamza Ali working at a desk

Tools

A Curated Set of Tools and Technologies Mastered to Build Production-Grade AI Systems

A carefully selected stack of languages, frameworks, cloud platforms and MLOps tools I use to build, ship and scale reliable machine learning systems.
  • Python
  • PyTorch
  • TensorFlow
  • FastAPI
  • Docker
  • Kubernetes
  • LangChain
  • Hugging Face
  • AWS
  • GCP
  • Azure
  • Kafka

Career Journey

A Comprehensive Journey Through My Professional Experience Building AI Across Multiple Companies

A professional journey building production AI — each role added deeper expertise in generative AI, MLOps and real-time systems.
    • Developed a multilingual customer-support chatbot and voice call agent with real-time translation.
    • Built generative AI applications, RAG-based systems and knowledge agents using vector databases.
    • Built and optimized image-processing pipelines with FastAPI for scalable AI services.
    • Managed cloud infrastructure on GCP (Vertex AI) with Docker and Kubernetes for efficient deployment.
    GenAIRAGVector DBsFastAPIGCP Vertex AIDockerKubernetes

Showcase Projects

A Selection of Projects That Showcase My Experience in Production AI Engineering

A curated selection of production systems — from real-time voice agents to government media monitoring — highlighting practical problem-solving and engineering depth.

Showing 6 of 9 projects

Research

Published Research in 3D Point Cloud Analysis and AI-Powered IoT

Peer-reviewed work translating statistical and AI techniques into practical solutions.

  1. 01

    Detection of Holes in Point Clouds using Statistical Techniques

    International Journal of Innovations in Science and Technology

    Authors: Hamza Ali, Zain ul Abideen, Muhammad Sajjad

    March 2024

  2. 02

    Combatting Illegal Logging with AI-powered IoT Devices for Forest Monitoring

    International Journal of Innovations in Science and Technology

    Authors: Abdullah Khan, Hamza Ali, Nasru Minullah

    April 2024

Education & Learning

Foundations in Engineering, Sharpened by Continuous Learning

Education

  1. Oct 2020 – Jul 2024

    B.Sc. Computer Systems Engineering

    University of Engineering and Technology (UET), Peshawar, KPK

    CGPA 3.21

  2. Oct 2018 – Jul 2020

    Intermediate (Pre-Engineering)

    IIUI Schools and Colleges, Mansehra, KPK

    Grade A+

Certifications

  • IBM Data Science Professional Certificate

    Coursera / IBM

    Mar 2022 – Jun 2022

  • Machine Learning and Deep Learning

    CampusX by Nitish Singh (YouTube)

    Jul 2023 – Nov 2023

  • Generative AI with Large Language Models

    Coursera / DeepLearning.AI

    Oct 2023 – Dec 2023

  • Machine Learning in Production

    Coursera / DeepLearning.AI

    Feb 2024 – Apr 2024

Get in Touch to Start a CollaborationAfter Exploring My Work and Expertise

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  • Generative AI
  • Production ML
  • RAG Systems
  • Voice Agents
  • MLOps
  • Computer Vision
  • Real-time Data