- Led biweekly office hours to assist students with understanding and applying course concepts, and provided feedback to the professor on common areas of misunderstanding-Graded weekly homework and exams

- Moderated a weekly lab section to facilitate collaboration among students in applying concepts learned in lecture-Graded weekly homework and exams

- Led biweekly office hours to assist students with understanding and applying course concepts, and provided feedback to the professor on common areas of misunderstanding-Managed course web page, question forum, and online grading system

- Tutored students in machine learning, optimization, introductory data science, and calculus courses on a weekly basis while assessing each student’s homework and exam progress to identify areas of improvement

- Developed an interpretable classifier model to detect encrypted malicious network traffic, achieving 99% accuracy in testing and enabling analysts to automatically identify malicious traffic sources and features- Created an end-to-end data processing module leveraging Wireshark's command line interface to collect, filter, and summarize network data, streamlining the data collection process and saving time for analysts- Embedded the data collection and classifier modules into a web-based suite of tools for encrypted traffic analysis and threat detection, lowering the barrier of entry and optimizing the workflow for network analysts

- Led subsystem onboarding efforts, collaborating with other team leads to present training material and assign projects to new team members- Managed subsystem progress throughout design, manufacturing, and testing stages of component production

- Created a novel algorithm for predicting forces on sprocket teeth, allowing for improved topology optimization, resulting in 25% weight reduction compared to previous designs

- Developed a machine learning model to classify environments and detect events for an audio-based security system, achieving over 90% accuracy in testing on 30 different environments and events- Integrated the classification model into a larger analysis toolbox, streamlining the security analysis pipeline