Hello, I'm Will Ruff AI/ML Engineer

Senior Computer Science student at San Diego State University specializing in artificial intelligence and machine learning. Passionate about building AI applications that solve real-world problems and drive innovation.

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Will Ruff

About Me

Get to know me better

Current Senior at San Diego State University majoring in Computer Science with a minor in Mathematics. I am a driven and ambitious individual with a strong foundation in computer science, data engineering, and artificial intelligence. My experience ranges from building computer vision models to deploying AI applications that improve real-world processes.

I am passionate about applying machine learning and AI to solve impactful problems and exploring ways technology can drive innovation and growth. I am seeking opportunities that will allow me to deepen my knowledge in AI/ML, while also contributing meaningful solutions that help companies and individuals achieve their goals.

Technical Skills

Python
C++
AWS
SQL
Git
Docker
PyTorch
Computer Vision
3.9
GPA
5
Professional Roles
30,000+
Users

Experience

Professional roles and internships

Research Assistant I

SDSU Climate Informatics Laboratory Sep. 2025 – Present
  • Built Python pipelines to process NOAA climate data from AWS S3 into cloud-optimized formats for rapid access
  • Leveraged NetCDF, Kerchunk, Zarr, and xarray to build a lightweight, server-side retrieval system for visualization
  • Extracted key dataset attributes into a unified metadata layer to make data access more modular and efficient
  • Developed FastAPI endpoints to dynamically query and stream climate data from cloud storage on user requests
  • Designed an engine-specific access system to automatically handle multiple dataset formats at system runtime
Python FastAPI AWS S3 Zarr xarray

Founding Engineer

ToneAdapt.com Dec. 2025 – Feb. 2026
  • Built and scaled a full-stack SaaS to 30,000+ user signups and $5K+ MRR in the first 60 days
  • Implemented a GenAI-assisted research system that aggregates guitar tone data and adapts it to the user's gear
  • Architected a normalized database schema and query layer supporting authentication, subscriptions, and usage
  • Deployed and maintained production infrastructure on Vercel with automated builds, isolation, and rollbacks
  • Developed internal dashboards to track sales, MRR, churn, and user activity for data-driven product decisions
Full-Stack GenAI Vercel SaaS Database Design

Data Engineer Intern

Kenworth - Division of PACCAR Inc. May 2025 – Aug. 2025
  • Engineered an in-house computer vision system replacing a third-party tool, reducing costs by $100K+ annually
  • Increased cab part detection accuracy from 94.5% → 96.5% through iterative training and hyperparameter tuning
  • Developed custom YOLO and Azure CV models for part detection and cab positioning along the production line
  • Built a Flask web application to deliver real-time inference to production dashboards, aiding operator inspections
  • Designed a YOLO camera-triggering model to detect optimal cab alignment for capturing all four sides at EOL
  • Created a real-time part detection stream with live bounding boxes on cabs as they exit the manufacturing line
Python YOLO Azure CV Flask Computer Vision

Operating Systems Teaching Assistant

San Diego State University Jan. 2025 – May 2025
  • Assisted in maintaining and configuring the auto-grader codebase to ensure accurate and efficient grading
  • Set up and tested the auto grader for each assignment, optimizing performance and creating unique test cases
  • Graded assignments and exams for a class of 150 students ensuring consistency and adherence to grading rubrics
  • Held weekly office hours to provide personalized support, debugging assistance, and address student questions
  • Collaborated with the instructor to improve course materials and enhance the students' learning experience
C++ Shell Scripting Auto-grading System Administration

Software Engineer Intern

Glympse - Location Sharing Technology June 2024 – Aug. 2024
  • Developed Python and Go scripts for file comparison, cutting memory usage by 25% via benchmarking
  • Migrated legacy code to a new repository, adding essential parameters and enhancing report functionality
  • Refactored and modernized a shell script report in Python, enhancing readability and maintainability
  • Built and implemented comprehensive unit tests to ensure the reliability and accuracy of the Python code
  • Deployed code using GitLab CI/CD pipelines, configuring environments with '.gitlab-ci.yml' and Docker
Python Go GitLab CI/CD Docker Unit Testing

Undergraduate Research Assistant

San Diego State University Feb. 2024 – June 2024
  • Conducted precise research under faculty in the Integrating Cyber Innovations with Physical World Lab
  • Investigated medical device recalls to detect underlying problems focusing on software-related issues
  • Implemented code to automate data extraction from the FDA recall website for relevant analysis
  • Engaged in problem-solving exercises to address research challenges and advance project objectives
  • Utilized HTML to design a compelling and operational website that proficiently showcases research
Python HTML Data Analysis Research Web Scraping

Featured Projects

Some of my recent work

FlexVault App Design

FlexVault

A privacy-focused fitness tracking mobile application with AI-powered pose classification and progress photo analysis using CoreML.

Swift CoreML iOS
StockScript Chart

Stock Script

A domain-specific language for modeling, merging, and analyzing stocks. Features intuitive syntax for stock declarations and advanced operations like splits and merges.

Python textX DSL

Let's Connect

Ready to collaborate or have a question?

willruff5@gmail.com LinkedIn (425) 615-0778 GitHub
Seattle, WA
Resume