About Me
Engineer and architect with 10+ years experience building scalable, cloud-native systems powering millions of users
Inventor on a patented trust and safety platform; proven leader of teams and driving secure, high-impact automation
Fluent in Go, Java, Python, C#, and Terraform with a track record of accelerating delivery and scaling infrastructure
You can access a PDF copy of my resume here
Patents
US 18/974,139
- Automated Evaluation, Scoring, and Quarantine of Third-Party Patches for Application Software
Experience
Ditch clunky legacy tools. Eliminate risk and automate the configuration, patching, and compliance of your Windows, macOS, and Linux systems with one cloud-native platform.
- Inventor and architect/development lead of PatchSafe, a patented third-party trust and safety platform written in Python / Node.js, and scaled across AWS services
- Promoted from Senior to Staff; led the agent pod and security engineering teams, overseeing performance optimization and scalable deployments using Go, Python, Node.js, and Java
- Built observability pipelines with Datadog/Grafana and anomaly detection dashboards with Splunk, cutting mean time-to-detect issues by 40% and improving on-call efficiency
- Modernized CI/CD pipelines moving Jenkins to GitHub Actions, cutting deployment times by 60%
- Owned critical backend microservices (Go, Python, Java/Spring Boot) with 99.8% uptime
- Spearheaded Apple Silicon desktop agent integration using Objective-C/Swift/JavaScript, has since moved to Rust
- Defined Infrastructure as Code standards with Terraform/Terragrunt reducing dev time and duplication
- Shifted local dev/test to AWS emulation (LocalStack) reducing costs by $40k+ annually and accelerating testing
Certifications:
DocuSign ensures the security & mobility to digitally transform businesses
- Engineered distributed AI document processing enhancements for Insight AI using Java, Python, C#, and Node.js on AWS, improving accuracy of legal document parsing by over 20%
- Built test automation suites validating complex document workflows in CLM; reduced manual QA hours by 40%
- Developed and deployed scalable backend services and APIs to support core product functionality
- Delivered custom implementations and feature development for high-value enterprise customers
- Authored developer training curriculums on Seal AI and CLM API integrations
Certifications:
- Led a 4-person dev team to build new furniture production management systems in Laravel/PHP and TypeScript
- Spearheaded a platform overhaul that more than doubled production throughput and supported over 2x sales growth, directly impacting multi-million-dollar order fulfillment
- Introduced Docker-based dev environment cutting developer onboarding time from 2 weeks to 2 days
- Mentored junior developers and defined internal development standards
- Maintained Azure-hosted catalog systems in C# as part of a rapid delivery team
- Built full-stack mobile app (Java, Obj-C) for sales event operations; app adopted by 5000+ store reps
- Helped slash support ticket backlog by over 92% in 6 months
- Helped lead OWASP training for developers and project management staff
Sweetwater is the world's leading music technology and instrument retailer
- Automated image processing pipeline with Python/OpenCV, doubling photographer throughput
- Modernized internal CRM application in Objective-C, improving sales engineer productivity
- Built internal tools supporting shipping, building operations, and executive teams
- Built custom building automations in Python and C++ for smart projector control, lighting, and audio systems
- Built large-scale insurance data platform (C#/.NET/JavaScript on Azure), supporting real-time claims analytics
- Developed native mobile apps in Obj-C and Java for industrial pumps, digitizing field operations
- Contributed to embedded firmware with C and C++, and embedded testing in Python for water control systems
Projects
- LocalStack scaffold allowing you to quickly get started with Terraform on LocalStack using Terragrunt
- Lethal Company template project to make new mods!
Education
University of Illinois
BS - Computer Science
- Graduated Cum Laude
- Elective concentrations in Machine Learning, Artificial Intelligence, and Computer Graphics
- Graduate classes in Artificial Intelligence, Machine Learning, and Neural Networks
University of Colorado Boulder
Candidate MS - Computer Science
- Concentration in Generative Artificial Intelligence and Machine Learning
Skills Cloud
