Led development of core features in SAL, a custom internal platform (C#, React, Python, REST, OPC UA) that connects additive manufacturing equipment with enterprise systems (Teamcenter, Opcenter, Syspro) to support scheduling, project coordination, labor tracking, and compliance.

Built SSO-enabled internal apps with custom permissions, replacing manual workflows and disconnected spreadsheets with scalable, real-time tools used across the organization. Designed APIs and data pipelines to integrate live printer data with MES/ERP, enabling automation and full production visibility.

Developed a CNN-based computer vision tool (OpenCV, Inception v3) to detect defects with 95%+ accuracy, reducing scrap and failure rates. Created automated monitoring and alerting systems that flagged production anomalies, helping cut failures by over 50%.

Automated backend processes and IT workflows, reducing manual labor by 95%+ and improving operational efficiency. Supported infrastructure and deployment via AWS, with testing built in Vitest (frontend) and xUnit (C# backend).

Applied DISA STIGs across 95% of manufacturing equipment and contributed to company-wide implementation of NIST, ITAR, CUI, and DoD compliance standards. Authored documentation for onboarding, audits, and system architecture, and helped manage over 15 cross-functional platforms.

Tech Stack: C#, .NET, React.js, Python, Java, SQL, REST, OPC UA, TensorFlow, OpenCV, AWS, Docker, Git, Vite, Vitest, xUnit

Systems: SAL (custom platform), Teamcenter, Opcenter, Syspro, Active Directory, Jira

Domains: Internal Tools, Automation, Systems Integration, Computer Vision, Compliance

● Led development team of eleven engineers through a one year agile production lifecycle.

● Developed an algorithm for recognizing Huanglongbing infections with over 80% accuracy.

● Published an ACM research paper on using computer vision to recognize diseases, see

“Citrus Greening Infection Detection (CiGID) by Computer Vision and Deep Learning”.

● Restructured a Google Cloud-based data lake, resulting in a size reduction of over 60%.

● Automated data updates and refactored main codebase, reducing codebase size by over 95%.

● Streamlined cost and material estimating processes via automating standard processes.

● Consulted on over a dozen startup projects to prep them for market entry.

● Conducted programming, code reviews, and debugging for several startup projects.

● Provided testing and consultation for a top-selling VR game on Steam.

● Tutored programmers on an individual and group basis on various coding languages as well as topics such as parallel computation, graphics engines, machine learning, game design, and computer vision.

● Taught five high school level courses of 30+ students each on programming and video game design.