AI / ML Engineer
AI that survives production — not notebooks.
Lahore, PakistanOpen to roles & freelance
I build computer-vision pipelines, RAG agents and the automation around them — from raw dataset to a deployment you can monitor and hand off. Shipped into manufacturing QC, industrial safety, UAV perception and enterprise tooling.
Selected work — shipped & in the lab
Finished garments are size-checked by hand with a tape measure, so QC is slow, inconsistent between operators, and impossible to audit after the fact — and the brands, operators and purchase orders behind that QC line have no system of record at all.
Most tennis computer-vision systems assume a fixed camera, a regulation court, labelled training data and a GPU. Real coaching footage — a handheld camera, a driveway wall, no dataset — has none of those, so the tooling that exists does not run on it.
Fabric defects are caught by human inspectors watching moving cloth, so rare and unfamiliar defect types slip through and nothing is logged for the mill to act on.
In a disaster zone, finding people fast is the whole problem, and a human pilot watching a UAV feed cannot search a wide area quickly or reliably.
A loading dock’s turnaround - gate, docked, unloading, gone - is tracked by eye and on clipboards, so a slow stage is only noticed after the truck has left and the detention charge has already landed.
LLM / RAGScreening a stack of CVs against one job description is slow, inconsistent, and the reasoning behind a rejection is never written down.
OCR
Segmentation
Tracking
Detection
Pose
Pose
Anomaly
Tracking
Depth
Tracking
Segmentation
Detection
Detection
Detection
Detection
AutomationAwards
Teaching
Punjab Tianjin University of Technology (PTUT), Lahore · conducted by NUTECH in collaboration with Robionix Technologies
PTUT Township Campus, Lahore · 2-3 July 2026
Instructor — Robionix engineering team, with Prof. Dr. Awais Yasin (Founder & CEO, Robionix)
From the field
[ 01 ]
Detection, segmentation, pose and anomaly detection — from dataset curation to a monitored deployment on the hardware you already run. You get a system, not a notebook.
ProofMagicQC,AI-Enabled Fabric Defect Detection,Real-Time PPE & Workplace Safety Detection
[ 02 ]
Models that hold accuracy inside an embedded compute budget. OAK-1W / DepthAI, ONNX, quantisation, and the throughput trade-offs stated up front — not discovered in production.
ProofAI-Enabled Fabric Defect Detection,Industrial Detection & Pose-Estimation Suite,SkyResQ
[ 03 ]
Retrieval pipelines and agents that cite their sources, plus the workflow automation around them — served as REST APIs into the backends you already have: Laravel, React, MySQL.
ProofEnterprise RAG & Conversational Agents,CV Recruiter RAG Agent
The stack I build and maintain on
AI / ML Engineer · Lahore, Pakistan · Open to relocation
I build computer-vision pipelines, RAG agents and the automation around them — from raw dataset to a deployment you can monitor and hand off. Shipped into manufacturing QC, industrial safety, UAV perception and enterprise tooling.
Experience
Aug 2024 — Jul 2026
Robionix Technologies · Islamabad, Pakistan
Jul 2025 — Sep 2025
Essenceware Technologies · Pakistan
Jun 2025 — Sep 2025
NESCOM, National Development Complex · Islamabad, Pakistan
Skills
Awards
Certifications
A feasibility read on a sample of your own data, at no cost — you get a straight yes or no on whether it will work. Then a scoped, fixed-price pilot of two to three weeks. A full build only after the pilot has proven the approach on your data, not a demo set.
Pilots start at $1,500. Full deployments run $5,000–15,000 depending on scope. Priced per project, not hourly — the number is fixed the moment we agree it, and it covers the hand-off, not just the model.
Calls happen in your hours. Work ships in weekly increments, so you see progress instead of a reveal at the end. The pilot exists precisely so you can test how we work together on something small before committing to a build.
Usually, yes. Most of this is the specialist vision or retrieval piece a team does not want to pause its roadmap to build — I take that part and hand back clean, documented interfaces.
I am a vision, ML and retrieval specialist — not a full data-engineering or DevOps team. I build the model and the inference service and hand off clean interfaces; I do not run your data warehouse or own your cloud estate. Where a project needs that, I say so up front and help you scope it out.
Hamza works both sides of computer vision, research and production, which most people don't. He's built and deployed real-time detection systems running on edge hardware in live industrial settings, not just in a notebook. He also led an AI-powered measurement platform from prototype through to a live cloud deployment on his own. On top of that, he's comfortable building with modern LLM and retrieval systems too. That range is rare enough to be worth a conversation if you're hiring for computer vision or applied AI.
Nasir Mehmood
Head of Retail Sales · Security General Insurance Company Ltd.
I worked with Hamza on a few AI and backend projects during and after university. He’s solid with YOLO-based computer vision work and comfortable building out the backend to actually deploy it, not just get a model working in a notebook. He asks good questions, follows through, and I never had to double-check his work. Good person to have on a project.
Sami Uddin
AI / Computer Vision Engineer · Codexia Tech
I highly recommend Hamza for his exceptional work as a Full Stack AI Developer. He demonstrated strong technical knowledge, clear communication, and consistent problem-solving ability throughout our collaboration. He successfully developed and integrated LLM and RAG-based chatbot solutions that were practical, scalable, and built around real user needs. His ability to handle both frontend and backend while delivering intelligent AI features reflects a rare combination of technical depth and product understanding. Hamza is dependable, quick to adapt, and committed to delivering quality results. He is a developer I would confidently engage again on any AI-driven project.
Saira Gillani
Reliability Analysis · Statistical Modeling · Computer Vision · AI · Client
I highly recommend Hamza for his exceptional work in developing the platform using AI technologies. Hamza demonstrated strong innovation, technical capability, and problem-solving skills throughout the development process. He successfully leveraged artificial intelligence to create a practical and forward-thinking solution focused on safety, monitoring, and operational efficiency. His ability to combine AI concepts with real-world applications shows both technical expertise and a strong understanding of user needs. Hamza is highly motivated, quick to learn new technologies, and committed to delivering quality results.
Mohammed Faisal Ghayas
Senior Account Manager — Building Automation (BAS/BMS) · Client
I had the opportunity to work with Hamza in the AI automation and computer vision space, and I’ve been consistently impressed by his technical skills and problem-solving mindset. He has a strong understanding of AI development, LLM pipelines, and computer vision systems, and he approaches projects with both creativity and attention to detail. Hamza is reliable, quick to learn, and always focused on building practical solutions that create real value. I’d highly recommend him to anyone looking for a skilled and dedicated AI developer.
Haris Ai
Multi-agent AI systems · OpenClaw + n8n · Independent
Open to full-time roles, contract engagements and freelance work — with clients in the US, Canada and Pakistan.
Lahore, Pakistan · Open to relocation
