• Graded over 200 assignments and exams for students enrolled in EECS 592, Artificial Intelligence Foundations.• Graded over 1500 assignments and exams for students enrolled in EECS 492, Intro to Artificial Intelligence

• Instructed and held office hours for a class of over 350 students for Intro to Artificial Intelligence.• Taught a weekly discussion section to review concepts mentioned in class to over 40 students.

• Reconfigured logging systems in Java source code files using logback and SLF4J to give an overview into exceptions being thrown by a web facing application with hundreds of end users querying billions of files.• Analyzed millions of logs a day and calculated real-time insights about Java code in Docker containers.• Built multiple dashboards and visualizations for developers to present metrics regarding Java exceptions.

• Created a Service Catalog Product using CloudFormation to give teams an example of a web facing application connected with secure configurations regarding load balancers, VPCs, and IAM roles.• Refactored services in AWS by customizing millions of logs and designed proper channels to notify responsible teams whenever malicious actors were detected.

• Tagged hundreds of videos, frame-by-frame to create training and testing data for machine learning algorithms.• Developed neural networks in Python to accurately label videos where drivers were distracted.