Zachary B.

Zachary B. has a diverse work experience in the fields of software engineering, machine learning research, and teaching.

From 2020 onwards, Zachary worked at Voltaiq as a Software Engineer and Backend Engineer.

Prior to that, they were a Machine Learning Researcher at the University of California, San Francisco, from November 2019 to July 2020. During their time there, they developed advanced machine learning models for predicting hospital acquired sepsis, achieving significant improvements in prediction accuracy. Zachary also automated patient labeling, imputed missing data, and engineered multiple time series features. Additionally, they created a reproducible data pipeline using Spark and Python and employed various modeling techniques such as Random Forest, Gradient Boosting, and RNNs using PyTorch.

Zachary's earlier experience includes serving as a Math Teaching Assistant and Computer Science Teaching Assistant at Knox College from September 2017 to June 2019.

Overall, Zachary has a strong background in software engineering, machine learning research, and teaching.

Zachary B. obtained their Master's degree in Data Science from the University of San Francisco between 2019 and 2020. Prior to that, they completed their Bachelor's degree in Computer Science and Music from Knox College, starting in 2015 and finishing in 2019. Zachary also participated in an Exchange Program at Northwestern Polytechnical University in 2016. In addition to their degrees, they have an additional certification as a Full Stack Web Developer from Udacity, although the specific date of completion is not provided.