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