Machine Learning Computer Engineering
Resume:
Ryne Shelton
503-***-**** ****@***.*** linkedin Portland, OR
Education
MS Electrical & Computer Engineering, Portland State University, Portland, OR (06/2024-Present) BS Electrical & Computer Engineering, Portland State University, Portland, OR (06/2021-Present) Associate of Science, Portland Community College, Portland, OR (01/2019-03/2021) GPA: 4.00
Software & Computer Skills
Electrical Circuit Analysis: LTSpice, Multisim
Operating Systems: MacOS, Unix/Linux, Windows
Programming: ARM, C, Github, LaTex, Matlab, Python, RISC-V, Visual Studio Code Machine Learning: Keras, Holoviews, scikit-learn, Tensorflow SEM: Bruker, SCREEN
Experience
Process Technician II, Hitachi High-Tech Technologies, Hillsboro OR (03/2024-06/2024)
● Prepared carrier wafers for etch-rate and coupon testing while validating process/sequence recipes to operate etching tools
● Operated SEM tools (i.e., Bruker and SCREEN)
● Performing general maintenance tasks on plasma etching tools
● Wrote software project to allow multiple jobs access of slots in a single FOUP to improve process speed/efficiency
● Wrote python script to compile excel csv and display process recipe/sequence information contained within several separate files to improve team-wide technician performance Machine Learning Consultant, JenSort, Hillsboro OR (10/2023-03/2024)
● Trained convolutional neural network to classify fish egg quality for a hatchery egg sorting tool
● Implemented Micro-Python kernel and associated libraries in microcontrollers to engineer custom embedded module
● Programmed buffer flash storage and UART serial communication firmware to meet timing constraints Machine Learning Consultant, United States Geological Survey, Portland, OR (01/2022-08/2023)
● Applied machine learning anomaly detection techniques to identify geothermal resources in the United States
● Data mined geophysical feature data of existing geothermal power plant sites
● Presented research at the Penn State University HydroML conference
● Utilized hierarchical clustering preprocessing methods to resolve data imbalances Geothermal Favorability Through the Lens of Anomaly Detection Manager, Portland State University, Portland OR (09/2022-12/2022) Circuit Lounge (EE/ECE Tutoring Center)
● Conducted interviews to make hiring recommendations to provide staff with maximum topic coverage.
● Recruited candidates and trained new hires to fill open positions Research and Development Intern, Datalogic, Eugene OR (03/2022-08/2022) Datalogic Labs
● Designed Convolutional Neural Networks for Data Matrix (DM) localizer
● Improved image processing speed with image filtration by utilizing low-cost LSTM networks
● Engineered image feature data to train DM detecting neural networks Research Intern, Portland State University, Portland, OR (06/2021-09/2021) Portland General Electric (Frequency Response), Power Engineering Lab
● Developed machine learning based frequency event detection method that was deployed on high resolution synchrophasor data
● Performed signal processing on signal data to uncover fundamental changes in signal spectrum frequencies preceding an event and incorporated spectrogram information to increase detection speed and accuracy
● Prepared a 20-page progress report for Portland General Electric in LaTex
● Tested the effects of LSTM/CuSum parameters on event detection speed and accuracy Tutor (Physics and Mathematics), Portland Community College, Portland, OR (01/2019-06/2021) Principle Investigator, NASA Oregon Space Grant Consortium, Portland, OR (12/2019-05/2021) Student Academic Research Review (2020-2021)
Student STEM Community College Opportunity for Research (2019-2021)
● Collected and analyzed power output and fuel consumption data Shelton 2/2
● Delivered research presentations at the SCORE Student Symposium (2020-2021)
● Designed circuit configurations to improve radiometer performance and reduce power consumption
● Engineered fuel cell proton exchange membrane architecture to increase fuel efficiency and power output
● Prepared 2 papers on fuel cell and radiometer research findings
● Produced quantitative analysis of power to weight ratios of solid oxide-fuel cell designs Investigating the Efficiency of Hydrogen Fuel Cells as Alternative to Standard Batteries Research Intern, Portland State University, Portland, OR (06/2020-08/2020) AltREU, teuscher.:Lab
● Determined efficacy of social distancing measures on COVID-19 infection rate
● Presented findings to virtual audience and created podcast that discussed research
● Programmed (Python) agent-based computational models to predict the spread of covid Combating COVID on College Campuses: The Impact of Structural Changes on Viral Transmissions Honors & Leadership
McNair Scholar, Portland State University (01/2022-Present) President’s List, Portland State University / Portland Community College (Fall 2019-Winter 2021) Highest Honors, Portland Community College (03/2021) College Coach, Louis Stokes Alliance for Minority Participation (12/2020-09/2021) Math Mentor, Portland Community College Peer Mentor Program (09/2020-06/2021) Community College Aerospace Scholar, NASA (09/2020-03/2021) References
Quan Nguyen (Hitachi High-Tech - Process Technician Supervisor) ****.******@*******-********.***
Jacob Shirley (Hitachi High-Tech - Lead Process Technician) *****.*******@*******-********.***
Lee Collins (Portland Community College - Physics Professor) ***.*******@***.*** Robert Bass (Portland State University - Associate Professor) ******@***.***
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