About Me
Architect and engineer with 10+ years building scalable, cloud-native systems powering millions of users
Inventor on a patented malware-hunting platform; proven leader of teams and driving secure, high-impact automation
Fluent across Go, Java, Python, C#, and Terraform with a track record of accelerating delivery and hardening 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.
- Architected and led development of PatchSafe, a patented third-party malware-hunting platform built with Go and Python on AWS, enabling secure third-party validation across millions of endpoints
- Promoted from Senior to Staff; led the Agent pod team, overseeing performance optimization and scalable deployments using Go and Java
- Modernized CI/CD by migrating from Jenkins to GitHub Actions, and converted to utilize parallel ephemeral boxes cutting deployment times by 60%
- Owned critical backend microservices (Java/Spring Boot, Node.js) with 99.8% uptime
- Spearheaded Apple Silicon desktop agent integration using Objective-C/Swift/JavaScript, has since moved to Rust
- Built automation tooling adopted by 50+ engineers, cutting manual developer security tasks by over 70%
- Defined Infrastructure as Code/IaC standards with Terraform/Terragrunt across backend and frontend infrastructure
- Converted local development and testing frameworks to use LocalStack for AWS emulation
Certifications:
DocuSign ensures the security & mobility to digitally transform businesses
- Engineered distributed AI document processing enhancements for Insight AI using Python, C#, and Node.js on AWS, improving accuracy of legal document parsing by 20%
- Built test automation suites validating complex document workflows in CLM; reduced manual QA hours by 40%
- Delivered custom implementation and feature development for high-value enterprise customers
- Authored developer training curriculum 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
- Led platform overhaul that more than doubled production throughput and supported 2x sales growth
- 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 200+ store reps
- Helped slash support ticket backlog by 92% in 6 months
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, ops, and executive planning teams
- 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
- Collection of writeups for cybersecurity CTFs
- 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, Neural Networks
University of Colorado Boulder
Candidate MS - Computer Science
- Concentration in Generative Artificial Intelligence and Machine Learning