# Joshua Jansen-Montoya > SWE @ YouTube Location: San Francisco, California, United States Profile: https://flows.cv/joshuajansenmontoya Hi! I graduated from Harvey Mudd College with a B.S. in Mathematics and Computer Science, and currently work on the YouTube promotion recommendation algorithm and system, though I have experience working for both big tech and startups. In my spare time I love to ski, trail run, read, and explore San Francisco. ## Work Experience ### Software Engineer @ YouTube Jan 2024 – Present | Mountain View, California, United States Currently works as an IC on designing the algorithm for recommending different promotions for YouTube search, shorts, and home as well as ensuring resiliency of serving promotions on each of these surfaces. ### Computer Science Grader and Tutor @ Harvey Mudd College Jan 2021 – Jan 2024 | Claremont, California, United States Assigned to grading teams and tutoring teams that would work with students one on one on various concepts in Introduction to Computer Science (CSCI5) ### Mathematics Grader and Tutor @ Harvey Mudd College Jan 2021 – Jan 2024 | Claremont, California, United States Collaborated with fellow students on grading teams and tutoring teams to teach and support students students one on one about various concepts in Single and Multivariable Calculus (Math19). ### Student Researcher at ATT Lab @ Harvey Mudd College Jan 2021 – Jan 2023 | Claremont, California, United States Built COMSOL models of human skin according to different models of dampers and springs. Ran live testing of human skin using arduino controlled device that would stretch participants skin with the goal of determining the mechanical properties of the skin. ### Clinic/Co-Op Intern @ Qualcomm Jan 2023 – Jan 2024 | Claremont, California, United States - Utilized Qualcomm’s proprietary, ML libraries to enable on device inference by building an AI assistant for Android devices. - Utilized Hugging Face to source models for app. - Utilized Qualcomm libraries to prepare, convert, and quantize models such that they are compatible with Android devices. ### Software Engineer @ Google Jan 2023 – Jan 2023 | Mountain View, California, United States - Updated front end component to store data across instances of component and to batch calls to back end to reduce number of RPCs using Redux.Js, Redux Thunk, and Lit Element in TypeScript. - Created and designed back end endpoints and parallelized individual back end tasks to minimize latency on server side using Boq nodes and Scaffolding in C++ and designed gRPC service. - Will be participating in rollout and monitoring of feature when it goes live using Mendel testing. ### Full Stack Developer Intern @ FlowEQ Jan 2022 – Jan 2022 | Remote I worked with the development team on 2-week product sprints that included tasks focused on the front end development using React and Redux at this YC-backed startup. I worked directly under the CTO but also would work with Head of Product and other full-time employees. Through this role, I learned many modern software practices, TypeScript frameworks, as well as how to turn customer requests into realized products and features. Some of these features included a new in-product search algorithm and improved user experience when using the app in Safari and when using the built-in Zendesk integration. ## Education ### Bachelor of Science - BS in Mathematics and Computer Science Harvey Mudd College Jan 2020 – Jan 2024 ## Contact & Social - LinkedIn: https://linkedin.com/in/joshuajansenmontoya --- Source: https://flows.cv/joshuajansenmontoya JSON Resume: https://flows.cv/joshuajansenmontoya/resume.json Last updated: 2026-03-22