# Sarah Wang-Zhou > Prev @ Apple  | CS + Math @ UT Austin Location: San Francisco Bay Area, United States Profile: https://flows.cv/sarahwangzhou Hello! 👋 I'm a computer science and math student at UT Austin passionate about machine learning and software engineering. I'm actively seeking opportunities in software engineering, data science, and machine learning. I'm always open to building new relationships, so feel free to send me a connection request or reach out at sarahtwangzhou@gmail.com! ## Work Experience ### Member @ Rewriting the Code Jan 2023 – Present ### Software Engineer Intern @ Apple Jan 2025 – Jan 2025 | Austin, TX Time series forecasting for the Apple Online storee ### Tech Fellow @ Harvard WECode: Women Engineers Code Conference Jan 2023 – Jan 2025 • Publicized WECode 2024 and 2025, the world’s largest student-run women in tech conference, to female and non-binary students • Awarded the title of Distinguished Tech Fellow for being in the top 25% of tech fellows contributing to conference attendance • Effectively increased conference attendance by over 33% from previous years The Harvard WECode (Women Engineers Code) Conference is the largest student-run women in tech conference in the world. ### AI & Quantum Computing IBM Accelerate Fellow @ IBM Jan 2024 – Jan 2024 • Selected out of a competitive pool of 10,000+ applications (~5% acceptance rate) • Peer-nominated as a Research Track star for serving as a leader during small group sessions, asking engaging questions, and making meaningful contributions during meetings • Engaged with 30+ industry professionals in technical discussions to gain a deeper understanding of various topics such as AI, hybrid cloud, semiconductors, and quantum computing ### SWE/Machine Learning Intern @ Aristocrat Jan 2024 – Jan 2024 | Austin, Texas, United States • Reduced manual code testing by 20% by developing a multi-model test case generation tool trained on proprietary codebases • Created machine learning pipeline to extract 5,000+ lines of context from code repositories to input into LLM calls • Developed an initial prototype of an internal QA tool by fine-tuning five open-source large language models using QLoRA • Improved model output by 30% by integrating retrieval-augmented generation into two proprietary codebases • Increased productivity for 5+ QA teams by deploying a user interface for a test case generation tool using FastAPI and React ### Data Analytics Intern @ Sensibed Tech Jan 2023 – Jan 2024 | Austin, Texas, United States • Preprocessed pressure ulcer data from 10+ research papers and medical databases using NumPy and Pandas Python libraries • Designed machine learning strategy to predict the pressure ulcer threshold value for patients using clustering algorithms • Presented findings at a student conference with 50+ attendees, including investors, product teams, and software engineers ### Software Engineering Intern @ Lockheed Martin Jan 2022 – Jan 2022 | Sunnyvale, California, United States Spearheaded integration of a GUI to visualize and analyze performance metrics for three missile interceptors using MATLAB ### Computational Chemistry Student Researcher (Njoo Lab) @ Aspiring Scholars Directed Research Program (ASDRP) Jan 2020 – Jan 2021 | Fremont, California, United States • Conducted computational modeling of six penicillin analogs using Density-Functional Theory calculations • Investigated the structural basis of the analogs’ structure-activity relationship via molecular docking and homology modeling • Performed statistical analysis by generating inhibition graphs to compare radii of inhibition for four species of bacteria • Published 9-page scientific paper in the Journal of Emerging Investigators detailing in silico data analysis and in vitro results • Designed, synthesized, purified, and characterized a series of novel analogs of Penicillin G to investigate their antibacterial efficacy ## Education ### Bachelor of Science - BS in Mathematics and Minor in Computer Science The University of Texas at Austin ### Mission San Jose High School ## Contact & Social - LinkedIn: https://linkedin.com/in/sarah-wang-zhou --- Source: https://flows.cv/sarahwangzhou JSON Resume: https://flows.cv/sarahwangzhou/resume.json Last updated: 2026-03-29