Summary
Sabiq Sabry is a Machine Learning Engineer with nine years of hands-on experience building web and AI-driven solutions, currently completing an MS in Artificial Intelligence at Asia Pacific University. He has shipped production web apps and automations for startups across Australia and Sri Lanka, combining React/Firebase front-ends with Python automation and AWS-backed infrastructure to boost engagement, traffic, and conversions. Recently he focused on deep learning for medical imaging—completing a thesis on pneumonia diagnosis—and works across NLP, computer vision, and data analytics to deliver multimodal systems. Comfortable toggling between teaching, hands-on hardware troubleshooting, and full-stack development, he has a track record of turning tedious workflows into reliable automations that save time and reduce errors. Outside of work he’s an avid F1 fan and badminton player, a detail that reflects his love of high-performance systems and competitive problem solving.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at Asia Pacific University of Technology and Innovation (APU / APIIT)
Bachelor in Computer Science, Computer Science, Bachelor in Computer Science, Computer Science at University of Westminster