Welcome to Ashley Raigosa's E-portfolio!
Welcome to Ashley Raigosa's E-portfolio!
Embedded Files
Who am I?
Who am I?
My name is Ashley Raigosa and I am a Computer Science major on the Computer Systems track at Stanford University for the class of 2026.
My key focus is in software but I have grown to love the intersection between electrical engineering and computer science. I have also dabbled in some mechanical engineering projects. As a side note, in my free time I like to snowboard, swing dance, and rock climb.
Besides my work experience listed below, I've also added a neat list of some projects I've worked on in the past which I have done for research, classes, clubs, or simply out of personal interest.
WORK EXPERIENCE
Vast Space Ground Station Software Intern
Vast Space Ground Station Software Intern
Developed a scalable, low-memory file ingestion pipeline using AWS S3 and custom Go code deployed via Lambda, efficiently processing file metadata and timeseries data at 17 Mbps
Diagnosed and resolved microservice outages, implemented custom feature requests, and managed AWS and Kubernetes permissions, ensuring stable production environments
Coordinated team code via GitHub, delivering a UI and API solution to clients through CI/CD
NASA Ames Deep Learning Intern
NASA Ames Deep Learning Intern
Analyzed TESS light curve and ephemeris data through NASA’s Science Processing Operations Center (SPOC) Pipeline via the High-End Computing cluster. Preparing training data for identifying exoplanets
Designed new pipeline for interpreting XML data to analyze approximately 500,000 new records for exoplanets
Space Rendezvous Laboratory Research Student
Space Rendezvous Laboratory Research Student
Implemented lunar rendezvous simulations with ARTMS, a software payload for NASA’s Starling mission
Enhanced angle-based navigation in diverse swarm configurations through sensor fusion, reducing average error for relative mean longitude by 450 meters and achieving clock error stabilization within 6 minutes
Intel Software and Advanced Technology Intern
Intel Software and Advanced Technology Intern
Leveraged AI (ID matching, fuzzy string matching, and ML models) against a data mart with 2+ million records to recommend values for key missing attributes needed to complete gaps in a data supply chain
Identified 85% of missing assets at 0.72 seconds/record, offloading these tasks to be performed automatically
Presented findings to senior management and site manager before publishing code to Intel’s GitHub
Coached students on ML with OpenVINO for traffic flow optimization and presented as a panelist
PROJECTS
Startracker Research and HITL Simulations (Space Rendezvous Laboratory)
Startracker Research and HITL Simulations (Space Rendezvous Laboratory)
I completed research Winter 2023 and Spring 2024 in the Space Rendezvous Laboratory under the guidance of Professor D'Amico.
In Winter 2023 I produced a research paper discussing custom methods for conducting star tracking on a Raspberry Pi in low SWaP (Size, Weight, & Power) scenarios. In this paper, I discuss methods for image processing and star tracker algorithms such as TRIAD in MATLAB. You can find the paper here!
In Spring 2024 I then shifted gears to work on the simulation aspects of star tracker algorithms. This included leveraging the Optical Stimulator in the Space Rendezvous Laboratory for HITL simulations of star tracking algorithms. I collaborated with two other teammates, with my focus being on camera calibrations and the HITL testing. You can find the paper here!
Skills: MATLAB, Python, 3D Printing (for the camera mounts), Raspberry Pi, Linux/Unix, GNC
Embedded C Sand Plotter
Embedded C Sand Plotter
For the class Computer Systems from the Ground Up (CS107E), I worked alongside a partner to create a sand plotter which moves a magnet marble around a sand table to draw shapes.
For this open ended project, I focused on developing the mechanical structure and creating the interface to send commands to the sand plotter in embedded C on a Mango Pi system.
The most exciting part of this class was that I created a fully functional operating system in RISC-V with C/bare metal. This included programming the Raspberry Pi's GPIO pins, interrupt handling, custom graphics libraries for monitors, a keyboard driver, digital clock, memory allocation (malloc), debugging libraries (printf), and a shell.
Skills: Embedded C, Breadboards, Debugging Tools (Logic Analyzer), basic circuits, Mango Pi, Unix/Vim
Featherwing Radio Modules
Featherwing Radio Modules
As a Satellites Team Lead in the Stanford Space Initiative for Winter 2023-Winter 2024, I worked on a Feather M4 workshop for radio communications which I taught to Advancing Space Science through Undergraduate Research Experience (ASSURE) at Berkeley and students at Irvington High School.
Additionally, I helped lead workshops with the support of the other Satellites teammembers/leads to teach new Stanford students how to assemble custom boards for the Feather radio modules boards and properly load their firmware/software!
Skills: Python (Circuit Python), Soldering, board bring-up, radio communications
Board Bring-Up
Board Bring-Up
For the Stanford Space Initiative (SSI), I helped bring up custom testing boards for our satellite. This included pasting the board, hand placing components, managing a BOM, interfacing with KiCad, baking the board, and conducting tests on the finished board.
I have also run workshops in the Summer of 2023 for Stanford students in the Space Initiative dedicated to teaching others how to bring up flight boards!
Skills: Board bring-up, soldering/hot air gun, measurement tools (oscilloscope/multimeter), KiCad
Pick and Place Machine Assembly
Pick and Place Machine Assembly
Alongside the help of other people in the Stanford Space Initiative on the Satellites team, I worked on constructing a Pick and Place machine. This LitePlacer is meant to speed up our board production process!
I worked on the electrical connections such as for the limit switches, harnesses, and structural assembly.
Skills: Soldering, schematic reading, structural assembly
L1 Rocket Launch
L1 Rocket Launch
In 2022-2023 I worked on a high powered rocket (L1) with a teammate within the Stanford Space Initiative. We successfully launched with an anticipated apogee of 2,000 feet and recovered it!
For the project, I simulated the rocket in OpenRocket to ensure its stability in flight and was quizzed on the aspects of my rocket at the launch site by a manager of the area.
Skills: OpenRocket, structural assembly (epoxy, drilling)
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