# Makena Low

> SWE @ Qualified | MS CS '22 @ Stanford

Location: Stanford, California, United States
Profile: https://flows.cv/makenalow

MSCS @ Stanford - Artificial Intelligence
BSEE @ Stanford - Signals
https://github.com/maklow

## Work Experience
### Software Engineer @ Qualified
Jan 2022 – Present | San Francisco Bay Area

### Course Assistant @ Stanford University
Jan 2021 – Jan 2022 | Stanford, California, United States
CS 107: Computer Organization and Systems
‣ Taught undergraduates and graduates computer system fundamentals. Graded assignments in C weekly, held weekly office hours, led weekly sections of ~10-20 undergraduates, pre-flighted exams, moderated discussions forums

### Software Engineer @ Microsoft
Jan 2021 – Jan 2021 | Redmond, Washington, United States
OneDrive and SharePoint
• Aimed to increase integration testing of code changes
(OKR) for SharePoint team (∼15 devs) by designing and developing an
automated validation harness, improving the speed and reliability of Domain
Name Service and authentication tooling development
• Identified bugs in development code, thereby saving multiple days of
productivity, by integrating solution into standard development cycle
• Worked in Powershell

### Software Engineer @ Microsoft
Jan 2020 – Jan 2020 | Sunnyvale, California, United States
Teams
• Developed a consumer-facing reporting feature on Teams web (∼200 MAU in
2020) and communicated across 3 teams to assure highly scalable architecture
• Assured accessibility features (i.e. dark mode, text reader, etc) were included by
leading human-centered design discussions with 3 teammates
• Worked in C#, JavaScript, REST APIs

### Software Engineer @ ZeitMedical
Jan 2019 – Jan 2020 | Stanford, California, United States
‣ Developed tools for stroke identification with EEGs to enable artificial intelligence for stroke-detecting brain-implants
‣ MATLAB

### Researcher @ Stanford University
Jan 2019 – Jan 2019 | Stanford, California, United States
Priyanka Raina’s Research Group
• Led the development of a tool (in Python) that automates vitiligo lesion
segmentation with 73.6% accuracy by implementing a sample-data efficient
machine learning model with Dr. Victor Huang and Prof. Priyanka Raina

### Software Engineer @ Ford Motor Company
Jan 2018 – Jan 2018 | Palo Alto, California, United States
• Convinced team to research motion-sickness for autonomous vehicles design
(continued by FTE) by developing a prototype motion-sickness in-vehicle data
collection iOS mobile application
• Worked in Swift, XCode


## Education
### Master of Science - MS in Computer Science
Stanford University

### Bachelor of Science - BS in Electrical Engineering
Stanford University


## Contact & Social
- LinkedIn: https://linkedin.com/in/makenalow

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Source: https://flows.cv/makenalow
JSON Resume: https://flows.cv/makenalow/resume.json
Last updated: 2026-04-11