Daniel Tsiang
About Daniel Tsiang
Daniel Tsiang is a Software Engineer with a background in Chemical and Nuclear Engineering. He has experience in developing machine learning models and optimizing deployment processes, currently working at Starling Bank since 2021.
Work at Starling Bank
Daniel Tsiang has been employed at Starling Bank as a Software Engineer since 2021. In this role, he has developed backend systems for image recognition machine learning models using Python. He has also implemented Docker and Kubernetes for deploying machine learning models into production environments. Additionally, he integrated machine learning applications with a Java backend using REST APIs, enhancing the bank's technological capabilities.
Education and Expertise
Daniel Tsiang completed his education at several prestigious institutions. He studied at Newcastle-under-Lyme School and Sixth Form from 2007 to 2014. He then pursued a Master's degree in Chemical with Nuclear Engineering at Imperial College London from 2014 to 2018. In 2021, he attended Harvard University, where he completed the CS50ai course, focusing on Artificial Intelligence with Python, and the CS50x course in Computer Science.
Background
Before joining Starling Bank, Daniel Tsiang worked as a Nuclear Safety Engineer at AWE from 2018 to 2021. His role at AWE involved ensuring safety protocols in nuclear operations, contributing to his technical expertise in engineering and safety standards. This experience provided him with a strong foundation in engineering principles, which he later applied in software development.
Achievements in Machine Learning
Daniel Tsiang has made significant contributions to machine learning projects at Starling Bank. He enhanced the performance of machine learning model containers by optimizing Kubernetes resource allocation. His work in developing backend systems and integrating machine learning applications demonstrates his proficiency in applying advanced technologies to solve complex problems.