Seattle, Washington, United States
I'm a data storage engineer and systems programmer at Qumulo. I'm excited about robotics, biotechnology, and systems programming, and I'm always eager to do work that uses computer science to tackle difficult problems and make people's lives better! Previous to that, I worked as a neurosurgery researcher and data analyst with Rudi Schulte Research Institute. In 2024, I graduated from Caltech with a bachelors in Computation and Neural Systems (akin to computer science and neurobiology). Additionally, I've received a teaching award for my work as a computer science Head Teaching Assistant at Caltech, been selected for multiple research fellowships, and volunteer extensively in the medical field.
Software and systems engineering for Qumulo's data storage product, with a focus on distributed file system deployment across many locations for B2B clients.
Data analysis in collaboration with Children's Hospital Los Angeles' neuroscience divisions, studying how to more effectively diagnose, treat, and manage hydrocephalus and brain cancer in children through the use of big data analysis and analytic machine learning. Developing and implementing big data techniques using 1,000s of patient image scans to inform and guide treatment of hundreds of patients.
- Led a team of 20 other TAs. Created course materials and objectives, supported lectures, and led office hours (21 hrs/wk), reaching 100s of students with intermediate Java, C, and x86-64 Assembly. - Received Caltech's student-nominated teaching award for compassion and excellence with students. - Head teaching assistant for three classes (CS 101, CS 13, and CS 24), as well as teaching two others (CS 2 and CS 3). - Head teaching assistant for a new course to train other teaching assistants in effective and equitable teaching.
- Led a team of five resident mentors in overseeing the First-Year Success Research Institute (FSRI) program. Participants were dozens of incoming first-year undergraduates from historically underrepresented backgrounds. - Lived in residence, organized activities, led social events, and provided emotional and peer support.
- Selected to lead a subteam of six for software engineering and controls research, for a project in robotic crater traversal that is patent pending and awarded NASA’s Big Idea Challenge finalist. - Co-author of 20-page research proposal. Wrote >50 pages of technical manuals and documentation. - https://engenuity.caltech.edu/stories/ski-lift-on-the-moon-NASA-BIG-Idea-Challenge
- Implemented and performed a comparative analysis on three cutting-edge equivariant graph neural networks (EGNNs) in Python, for use with open-source deep learning cellular point cloud data tools to more effectively analyze microscope images and determine cancer prognosis. - Built a user-friendly interface allowing dozens of comparisons of model efficacy.
- Led and implemented the transition from traditional databases to Google’s BigQuery cloud data tools, alongside interfacing with JIRA, for game data from 75 million players world-wide.