Zhi Heng (Brennan) L.
About Zhi Heng (Brennan) L.
Zhi Heng (Brennan) L. is a Software Engineer with a background in full-stack development and biofeedback game development. He has worked at Voiceflow since 2020, contributing to projects involving natural language models and Microsoft Teams integration, and holds a Bachelor of Computer Science from the University of Waterloo.
Current Role at Voiceflow
Zhi Heng (Brennan) L. is currently employed as a Software Engineer at Voiceflow, where he has been working since 2022. In this role, he focuses on developing software solutions that enhance the capabilities of Voiceflow's platform. His contributions include implementing a pub-sub system for managing training and prediction requests to natural language models, as well as building a Microsoft Teams integration for Voiceflow applications.
Previous Experience at Voiceflow
Prior to his current position, Zhi Heng worked as a Full-stack Developer at Voiceflow from 2020 to 2021. During his 11-month tenure, he contributed to various projects that involved both front-end and back-end development. His experience at Voiceflow has equipped him with a comprehensive understanding of software development processes and technologies.
Work History in Software Development
Zhi Heng has a diverse work history in software development. He worked as a Software Developer at Ceridian and Novus Health in 2019, each for three months, where he gained experience in different aspects of software engineering. Additionally, he served as a Biofeedback Game Developer at Unyte Health Inc. in 2018 for three months, further broadening his skill set in the tech industry.
Education and Academic Achievements
Zhi Heng graduated with a Bachelor of Computer Science from the University of Waterloo, completing his studies from 2017 to 2022. He achieved a cumulative GPA of 92% and excelled in mathematics and statistical courses, including probability theory and multivariable calculus. His academic background has provided him with a strong foundation in computer science principles and practices.
Technical Skills and Interests
Zhi Heng possesses strong technical skills in various programming languages and frameworks, including React, Redux, TypeScript, NestJS, PostgreSQL, MongoDB, Express, Python, and C/C++. He is familiar with machine learning libraries such as scikit-learn, PyTorch, and numpy. His interests include reinforcement learning and pure mathematics, particularly in Q-learning and policy gradient algorithms.