Stanford University

SDE Intern @ Amazon  -  CS @ Stanford

- Research Engineer on Applied Team working on GenAI for Ads use cases

Google DeepMind

Research Engineer

- Course Assistant for CS 112/212 (Operating Systems, Winter 2023) and CS 144 (Networking, Spring 2023)

Stanford University School of Engineering

Course Assistant

- Software Engineer Intern at Meta on AI Infra Feature Privacy Team
- Created a validation pipeline to ensure privacy compliance for 20k features
- Designed and developed a new serving time integration test framework

Software Engineer Intern

- Working on online safety verification of trajectory planners for autonomous driving

Researcher - Stanford Intelligent Systems Laboratory

- Software Development Engineer Intern in the Prime Video Playback Optimization Team
- Developed a package to perform background speed tests on user devices and reduce percent of users with sparse data by 5%
- Performed data analysis using EMR, Spark, DynamoDB, and S3 and utilized findings to develop a new classification method to increase accuracy by 10%

Amazon

Software Development Intern

- Researcher in the AI for Healthcare Group advised by Pranav Rajpurkar and Prof. Andrew Ng. 
- First author on "Pathology Classification on Chest X-rays without Expert Annotation via Self-Supervised Learning", published in Nature Biomedical Engineering

Stanford Artificial Intelligence Laboratory (SAIL)

Researcher

- Summer intern in the SNAPL Lab. 
- Implemented algorithms for remote sites to share intermediate calculations instead of raw data as part of the distcomp R package to improve collaboration in healthcare while protecting patient data.
- Performed data analysis for abstracts about the link between types of self-affirmation and patient outcomes and the relationship between different forms of emotional coping and opioid misuse.

Ellie Talius