# Maia Rosengarten > Senior Software Engineer Location: San Francisco, California, United States Profile: https://flows.cv/maiarosengarten ## Work Experience ### Senior Software Engineer @ SandboxAQ Jan 2023 – Present | San Francisco Bay Area Senior Software Engineer in the Quantum Security Group ### Senior Software Engineer @ Mapbox Jan 2019 – Jan 2022 | San Francisco Bay Area For my first year and a half I worked on the Map side of things at Mapbox. I was mainly focused on improving our data pipeline behind the Mapbox Tiling Service, which converts customer data into beautiful maps that can be displayed in a browser or mobile device. I also worked on the cloud infrastructure (AWS ECS, AWS Lambda, AWS Cloudformation, AWS Step Functions, AWS Cloudwatch monitoring + alarms) behind our APIs serving maps at scale. I switched over to the Navigation side of things in early 2022 and now think more about the architecture, scalability, and algorithms for turn-by-turn navigation, optimal routing, and map matching problems within the Logistics space. ### Software Engineer @ Stottler Henke Associates Jan 2018 – Jan 2019 | San Mateo, California ### Software Engineer @ Stottler Henke Associates Jan 2018 – Jan 2019 | San Mateo, CA As a software engineer at Stottler Henke Associates, I've developed software for both the U.S. Navy and NASA. Below are a few of the projects I've worked on: 1. Developed replacement for U.S. Navy operational mission-planning software (Java, Spring Boot, JavaFX) that reduces average deployment time by 80% through CI/CD pipeline. 2. Built an Integrated System Health Management prototype for NASA ARC to monitor space habitat subsystems for their future deep space exploration missions. - Researched and engineered semi-supervised machine learning algorithms based on Random Forests and Self-Organizing Map Neural Networks to detect and localize space habitat subsystems faults. - Involved in all stages of Machine Learning pipeline: data processing, feature selection, model tuning, and model validation on 2 NASA subsystems implicated in real faults, achieving over 85% accuracy. - Co-authored paper published in Advances in Intelligent Systems & Computing journal, invited to present at WSOM 2019 conference in Spain. 3. Developed an Expert System to intelligently diagnose and respond to spacecraft failures through distributed architecture. - Implemented intelligent data processing, fault diagnosis, planning/scheduling, and adaptive execution modules to automatically identify, locate, and resolve failures. - Validated system on real telemetry data from CubeSat stationed in Montana; system anticipated to run on CubeSat lunar landing mission in 2021. ### Backend JavaScript/Node Engineer @ Enterprise Information Systems, Autodesk Jan 2017 – Jan 2017 | San Rafael, California As a Backend Software Engineer (JavaScript, Node.js) on Autodesk's Sales and Marketing Engineering team, I contributed to the company's first Serverless API leveraging AWS Lambda functions to efficiently bundle contract information for Channel Partners via their Partner Portal. ### Undergraduate Research Assistant @ Algorithms and Computing for Education (ACE) Lab Jan 2017 – Jan 2017 | University of California, Berkeley I worked with a graduate student to analyze survey data from UC Berkeley's summer course CS61A: 'The Structure and Interpretation of Computer Science.' My research contributed to a larger study that was to identify predictors of student performance. ### Vice President of Technology @ FEM Tech Berkeley Jan 2015 – Jan 2017 | UC Berkeley, CA As a student at UC Berkeley, I helped build FEM Tech Berkeley, an organization to accelerate non-computer science majors in the tech industry. I launched FEMTECH Share, a 10-week web development series on HTML, CSS & JavaScript for humanities and social science majors. The organization was featured in Berkeley News: https://news.berkeley.edu/2017/09/19/queens-of-code-meet-the-leaders-of-berkeleys-first-tech-club-for-women/ ### Computer Science Mentor @ Computer Science Mentors Jan 2016 – Jan 2016 | University of California, Berkeley At UC Berkeley, I was a computer science mentor for students enrolled in the Data Structures course at Cal. I tutored small groups of 3-4 students each week as well as received weekly teacher training from a senior mentor. ### Lab Assistant @ Great Ideas in Computer Architecture' Course Jan 2016 – Jan 2016 | UC Berkeley I worked as a lab assistant for UC Berkeley's "Great Ideas in Computer Architecture." I helped students learn C, MIPS, OpenMP, and Logisim (to create a pipelined model of a CPU). I also helped explain core computer architecture concepts like memory hierarchy (e.g. caches and virtual memory) and thread-level parallelism. ### Public Policy Intern @ Causa Justa :: Just Cause Jan 2014 – Jan 2015 | Oakland, CA I helped connect tenants experiencing landlord harassment with legal resources. I also campaigned to pass the Tenant Protection Ordinance through Oakland City Hall in October 2014, and wrote policy briefs on the 2014 Tenant Protection Ordinance and Nuisance Eviction Ordinance. ### AmeriCorps Bonner Leader @ WriterCoach Connection Jan 2013 – Jan 2014 I served 450 hours as the liaison between the East Bay organization WriterCoach Connection and its Cal subsidiary. Beyond managing the club on campus, I helped design and implement a digital strategy to increase student engagement by 45%. I also coordinated a panel of professional education experts to speak about the achievement gap in K-12 education. Lastly, I co-designed and taught a 2-unit course at Cal about literacy education in the Bay Area. ## Education ### Bachelor’s Degree in Computer Science University of California, Berkeley ### Bachelor’s Degree in Political Economy University of California, Berkeley ### Bachelor’s Degree in Education minor University of California, Berkeley ## Contact & Social - LinkedIn: https://linkedin.com/in/maia-rosengarten --- Source: https://flows.cv/maiarosengarten JSON Resume: https://flows.cv/maiarosengarten/resume.json Last updated: 2026-04-01