Summary
Jian Yap is a data scientist and machine learning engineer with 9 years' experience building production-ready ML systems and web applications out of Singapore. He combines deep learning expertise (PyTorch, fast.ai) with pragmatic MLOps and web development skills (Django, React) to ship end-to-end solutions—from feature stores and CI/CD for models to customer-facing recommendation services. Jian led ML efforts at ShopBack, lifting content-driven conversion and deploying reusable feature infrastructure, and has productionized recommender and ranking systems at AirAsia and Wooppy. Currently contributing at BentoML and Modular, he blends hands-on engineering, technical writing, and community engagement around practical deep learning. A First Class honours graduate from Monash, he was a Top 50 finalist in the Grab SEA AI Challenge 2019—evidence of his ability to turn research-level models into measurable business impact.
9 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree, Electrical and Computer System, CGPA : 3.97 | Average : 87 | First Class Honours, Bachelor’s Degree, Electrical and Computer System, CGPA : 3.97 | Average : 87 | First Class Honours at Monash University Malaysia