Applied Engineering

Industry Experience

I build computer vision and machine learning systems for industrial production. These systems run in live apparel manufacturing — inspecting seams, verifying logos, aligning fabric, and guiding robotic tacking — across facilities in Sri Lanka, Germany, and Thailand.

Years experience

Roles

Countries

Professional Experience

Work Experience

Machine Learning Engineer

EVOQ Systems · Colombo · Hybrid

Dec 2024 — Present

1+ yr

Computer vision and machine learning solutions for industrial automation and inspection in the apparel industry.

Built and deployed an AI logo-verification system (core algorithm + backend) — running in live apparel production.
Developed an autoencoder-based seam-quality inspection system (model + system architecture) — deployed in live apparel production.

Computer VisionAI/ML BackendIndustrial Automation 4.0

Computer Vision Engineer (Consultancy)

Thullex · Berlin, Germany · Remote

Jul 2024 — Present

2+ yrs

Design computer-vision and AI/ML solutions with backend and web support for remote industrial projects.

Led the team that built and deployed a vision-based logo-verification system — a core production-line tool in Thailand.

Computer VisionAI/MLTeam Lead

Undergraduate Researcher (Part-time)

Apparel Manufacturer · Colombo · Onsite

Aug 2023 — Jul 2024

~1 yr

Solely developed the algorithms and software for the Intelligent Ultrasonic Tacking Robotic System — now fully operational in production. This work became the basis of my Results in Engineering (Q1) paper.

Computer VisionRoboticsSub-pixel Localization

R&D Intern (Python Development)

Apparel Manufacturer · Colombo · Onsite

Internship

Worked on computer-vision and deep-learning projects for fabric inspection — algorithms, models, backend systems, PLCs, robotics, and hardware integration.

PythonDeep LearningPLCHardware

Production Systems

Deployed Production Systems

Each of these is a real deployed system on a live production line. The ultrasonic tacking system also underpins a peer-reviewed Q1 journal paper.

Linked Q1 Paper Team Lead In Production · Apparel Sector

Intelligent Ultrasonic Tacking System

Vision-guided sub-pixel localization on 2D textile surfaces for robotic ultrasonic tacking. I solely developed the algorithms and software; the method is published in Results in Engineering.

Read the paper