About the Developer

My name is Cale, and I'm a software engineer who likes to turn signals into stories using statistics, software engineering, and machine learning. I work comfortably across Windows and Linux OS's, from native desktop to modern web.

What I work with

I specialize in Microsoft and Linux stacks, building data‑driven apps with .NET (WPF, Blazor) and Azure. On the data side I use Python and Bash for automated pipelines, analysis, and visualization. I care a lot about reliability and security, and I absolutely love data.

Focus areas

Software engineering, data science and statistical analysis, ML/AI, Azure, SQL/MySQL, Linux, Android, finance and algorithmic trading systems, quality assurance, and observability.

.NET Blazor WPF Azure Python Bash SQL/MySQL Linux Security ML/AI

I’m always happy to chat about projects at the intersection of data, ML, and engineering. Feel free to reach out.

Resume (PDF)

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Experience timeline

Data & Software Architect (.NET)

July 2019 – Present • Government, OH
  • Lead design of public‑facing and internal apps (Razor/Blazor, WPF, LINQ, EF).
  • Operate a Blazor checkout system (5,500+ annual transactions, ~$235K revenue).
  • Build Python tools for property analytics; ML models for home‑value trends.
  • Pen‑testing and secure coding practices across apps; automate data workflows (Windows, SFTP).

Infotainment (Head Unit) Software Developer

Apr 2017 – Jul 2019 • Honda R&D, OH
  • Authored software specifications for Honda/Acura infotainment systems.
  • Emphasis on functionality, reliability, and security validation.

QA Software Engineer (eCommerce B2B Cloud)

Jan 2014 – Mar 2017 • IBM, Dublin OH
  • Comprehensive QA (integration, system, regression, performance) for cloud B2B platforms.
  • Built Selenium automation to crawl/test dynamic e‑commerce applications.
  • Automated data generation with Bash; supported secure cloud release pipelines on Linux.

Financial Data Mining (Side Project)

2020 – Present
  • Linux‑based pipelines ingesting real‑time financial/social data.
  • Python/Bash automation; ML with scikit‑learn, pandas, TensorFlow/PyTorch; Jupyter notebooks.

United States Marine Corps

Mar 2006 – Mar 2011 • United States Marine

Education

Syracuse University • DeVry University
  • M.S., Computer Science — Syracuse University (in progress, expected 2026).
  • B.S., Electronic Engineering Technology — DeVry University (2013).

Additional Experience & Projects

Freelance Developer

2022 – Present
  • Design and develop custom Azure solutions for small businesses.
  • Use SQL Server, Key Vault, Azure Web Apps for secure, scalable deployments.
Azure SQL Web Apps

Financial Data Mining & Trading

Personal project
  • Linux pipelines ingesting real‑time market/social data for modeling.
  • Automated Python/Bash ETL; ML with scikit‑learn and deep learning frameworks.
Python ML ETL Linux