I am passionate about applying computer science to solve interesting problems. I enjoy writing code in Python and creating blog posts on different projects and concepts.
I primarily use Python 3.7+, Apache Spark, and SQL
I utilize PyCharm, GitHub, and AWS for my projects
I work with the Mac OS
I built this open-source web application with my classmates at the University of San Francisco to improve digital media literacy.
Check it outThis blog post explores cutting-edge methods to detect and defend against adversarial images.
Check it outThis project predicts which library books will be checked out next month. We utilized PySpark, Amazon EMR, and H2O to achieve ROC AUC scores above 0.91.
Check it outThis project classifies beers out of a high number of classes through pandas and scikit-learn.
Check it outThis group project included retrieving data from the Argo API, exploratory data analysis, and storing it on AWS RDS.
Check it outThis blog posts covers the basic math of gradient descent, an important topic in machine learning.
Check it outThis presentation predicts lymphoma subtype based on chromosome copy number variation data.
Check it outThis is an introductory blog post on how computers can learn to recognize and classify images.
Check it outThis blog post covers how word embeddings can vectorize human text. This is an important concept for natural language processing and reccurent neural networks.
Check it outThis blog post covers how the nodes in a simple neural network operate.
Check it out