Jason Pu

Jason Pu has a diverse work experience in the field of technology and software engineering. Jason currently works as a Quantitative Developer at Citadel Securities, starting in August 2021. Prior to that, Jason served as a Software Engineering Intern at Citadel Securities in 2020. In the same year, they also worked as a Research Intern at Uber ATG.

In 2019, Jason gained experience as a Software Engineering Intern at Google. Before that, they worked as a Backend and Machine Learning Engineering Intern at Forethought in 2018, where they contributed to the productionization of deep learning models and spearheaded the implementation of Kubernetes.

Additionally, Jason has interned at Wish as a Software Engineering Intern in 2018, where they built an image classifier and implemented various policies. Jason also automated reporting using MapReduce jobs. In 2017, Jason worked as a Software Engineering Intern at H&R Block Canada, where they designed and implemented an optimization API and created an error validation service.

Early on in their career, Jason worked as a Lifeguard and Instructor at the City of Toronto. During their time there from 2015 to 2016, they achieved certifications in lifeguarding, first aid, and swim instruction. Lastly, they served as a Finance and Operations Intern at 42 Technologies Inc. in 2015.

Overall, Jason has gained hands-on experience in various areas of technology and software engineering through their internships and professional roles at renowned companies.

Jason Pu completed their education at the University of Waterloo from 2016 to 2021, where they obtained a Bachelor of Computer Science. Jason also participated in the SHAD Valley program at McMaster University in 2015. Before that, they attended Michael Power St. Joseph and completed the International Baccalaureate Program. In addition to their formal education, Jason has obtained various certifications in the field of deep learning, including the Deep Learning Specialization, Convolutional Neural Networks, Sequence Models, Neural Networks and Deep Learning, Structuring Machine Learning Projects, and Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization. These certifications were received from Coursera in 2018.