Ryan Murase Email & Phone Number

San Francisco, CA, US

Park City, Utah, United States

Greater New York City Area

San Francisco Bay Area

Palo Alto

• Worked in AWS Deep Engine team to help improve SageMaker Neo’s ability to optimize machine learning models.
• Added ONNX v1.5 support to SageMaker Neo.
• Used Python and HTML to collect and format machine/model speedup data to provide daily performance feedback for our team.
• Modified the testing pipeline by removing superfluous instance tests to cut runtime in half.

Sunnyvale

• Working in the Alexa Devices Media team to create a Python program that will generate HTTP Live Streaming playlists to be hosted and played on Alexa devices to test new music provider streaming formats.
• Utilizing HLS and Fragmented MP4 APIs (Bento4, FFmpeg, mediafilesegmenter) to cover a wide variety of HLS manifests.
• Fixing and adding code in the FireOS and Android Framework that powers the Alexa Devices.

Carlsbad, California

• Worked with SQL Alchemy, Microsoft SQL, Python, and Pandas to analyze machine manufacturing data and reveal the important factors in determining a machine’s successful calibration results.
• Created a program that applies machine learning algorithms (knn, id3, etc) to predict a machines Pass/Fail that will ultimately cut down manufacturing time by 70% from reduced rework.

• Created a student organization to provide structure and resources to software projects
• Oversee Project Studio @ UCSD Executive Board and all its actions
• Plan and run weekly Executive Board Meeting and General Body Meeting
• In partnership with Dev Studio, we aim to cultivate the computer science community here at UCSD to allow students to reach their highest potential

sedsucsd.org

• “Colossus SFS” Project: High-activity student initiative to create a liquid propellant rocket engine static fire test stand, mentored and sponsored by NASA’s Marshall Space Flight Center.
• 20 hours/week working with a large team to design and build
• Data logging, automated pressure/temperature monitoring, user interaction, and automated sequencing.
• Practicing agile project management for frequent additions of design requirements and a tightening budget.

Chula Vista

• Created a comprehensive database and prediction tool for stress loads on key component interfaces of all UTC nacelle programs
• Built a GUI in Python to facilitate access to a SQLite database and Matlab prediction tool
• Helped devise a Matlab machine learning regression algorithm to predict new loads based on program engine parameters
• Initiated standardization of loads reports and naming conventions across programs

sedsucsd.org

• I am building a user interface that will obtain real-time data from the DAQ and display it on 4 GUIs, made using Java and JavaFX, that will be located in the test control center in the test bunker
• The interface manages the inputs from the custom UI and passes commands to the test.con runtime environment

Fullerton, California

As an intern to a renowned physicist I got the chance to work in a research lab and conduct the electron scattering experiment. I routinely collected and analyzed data from the low energy electron scattering machine and formatted it into a table suitable for a research paper. My work was featured in Dr. Khakoo's published paper. Other than research I.

Bachelor’S Degree, Computer Science, 4.0

Activities and Societies: SEDS, Project Studion @ UCSD, IEEE, Redeemer Campus Outreach

Full Stack Web Development Certification, Computer Software Engineering

High School, Engineering, 3.9