# Ashley Granquist > Software Engineer @ Apple Location: San Francisco Bay Area, United States Profile: https://flows.cv/ashleygranquist ## Work Experience ### Software Engineer @ Apple Jan 2024 – Present | Cupertino, California, United States ### Research Assistant @ MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) Jan 2021 – Jan 2024 MIT App Inventor's Conversational AI Team Helped develop Aptly, a tool that converts English descriptions into App Inventor apps. Implemented App Inventor features such as comments and procedures in the Aptly programming language (Python). Working on functionality to allow users to describe desired edits to their app in natural language and have those changes be automatically implemented (Python, JavaScript, Java). ### Graduate Teaching Assistant for Software Design (6.1040) @ MIT EECS Jan 2023 – Jan 2023 | Cambridge, Massachusetts, United States Led recitations to guide MIT students through learning new technologies and review key concepts from lecture (TypeScript, Vue.js, Node.js, HTML/CSS) Prepared recitation lesson plans (outlines, slide decks, and interactive activities) and preparatory assignments for students Provided individualized assistance to students in office hours and provided detailed feedback on student assignment submissions ### Software Engineering Intern @ Google Jan 2023 – Jan 2023 | New York, United States Conserved network usage for both Google and quota-constrained buyers by developing a new control in Google Display Ads Real-Time Bidding for advertisers to only receive bid requests for ad impressions they would be interested in (C++). Reduced compute resource usage and susceptibility to bugs by refactoring currency-related code to eliminate unnecessary currency type conversions and improve code maintainability. Clarified the semantics of the Google RTB protocol by populating currency-related fields to reduce advertiser confusion regarding the currency of money amounts being sent on bid requests. Further aligned Google’s bid requests with OpenRTB industry standards by populating the available currencies on bid requests. ### Lab Assistant for Modeling with Machine Learning: From Algorithms to Applications (6.C01/6.C51) @ MIT EECS Jan 2023 – Jan 2023 ### Software Engineer Micro-Intern @ Microsoft Jan 2023 – Jan 2023 | Cambridge, Massachusetts, United States Semantic Machines Team Implemented functionality to view animated graphs illustrating the constraint-solving process for conversational AI dialogue plans in a VSCode Extension (TypeScript, React, Scala). Enabled developers to efficiently debug issues with dialogues without manually tracing through code or solving constraints. ### STEP Intern @ Google Jan 2022 – Jan 2022 | Seattle, Washington, United States Developed a diagnostics page for an internal administrative console using Google’s internal web UI service (TypeScript, Angular, RxJS, GraphQL, HTML) Enabled Operations Team members to efficiently investigate issues with thousands of Google Cloud Marketplace partner products through a UI rather than through the command line, saving time and reducing human error Launched the feature after collaborating with UX designer to confirm design decisions and gathering feedback from engineers Attended Angular, RxJS, communication, and leadership workshops to further develop technical and professional skills ### Lab Assistant for Fundamentals of Programming (6.009) @ MIT EECS Jan 2021 – Jan 2021 Guided MIT students as they developed their programming, debugging, and algorithmic thinking skills during lab hours (Python). Graded MIT student lab submissions for coding style, met with students individually to assess & elevate their level of understanding. Enhanced the quality of lab assignments by providing feedback before they were distributed to students. ### Intern @ ColorStitch Jan 2021 – Jan 2021 Refined algorithms for image processing (using seam-carving and kmeans clustering) to optimize program runtime. Evaluated and improved the process for converting images into cross-stitch patterns (Python and C++). ### Undergraduate Researcher @ MIT Haystack Observatory Jan 2020 – Jan 2021 MOXIE Science Team - Software Team Developed a GUI to control gas flow for ground-based MOXIE experiments (Python / Tkinter). Identified problems with the previous system and implemented new features such as a safety cutoff in case of high chamber pressure and new methods of controlling gas flow to enable the lab to mimic the Martian atmosphere in the chamber. Automated calculations and control of hardware to increase the efficiency and safety of experiments. ### Computer Science Instructor @ MEET - Middle East Entrepreneurs of Tomorrow Jan 2021 – Jan 2021 | Jerusalem, Israel Taught interactive classes and mentored Israeli and Palestinian high school students as they developed web applications using Python, JavaScript, HTML/CSS, Flask, and SQLAlchemy. Helped develop curriculum, including lecture slides, interactive activities, practice labs, and project assignments. ### Mathematics Instructor @ Mathnasium - The Math Learning Center Jan 2020 – Jan 2021 ## Education ### Bachelor of Science - BS in Computer Science and Engineering Massachusetts Institute of Technology Jan 2020 – Jan 2024 ### Master of Engineering - MEng in Electrical Engineering and Computer Science Massachusetts Institute of Technology Jan 2023 – Jan 2024 ## Contact & Social - LinkedIn: https://linkedin.com/in/ashley-granquist --- Source: https://flows.cv/ashleygranquist JSON Resume: https://flows.cv/ashleygranquist/resume.json Last updated: 2026-03-22