Projects

A curated selection of projects that demonstrate practical approaches to engineering leadership, AI-enabled development, and modern infrastructure. These are case studies focused on outcomes and patterns rather than comprehensive repository listings.

Local AI Infrastructure for Software Teams

A reference architecture for running open-weight AI models on local hardware to support code review, documentation generation, and developer tooling without sending sensitive code to external APIs.

Technologies

RustPythonDockerllama.cppvLLM

Outcomes

  • Reduced dependency on external AI APIs for internal tooling
  • Demonstrated viable local inference for code completion and review
  • Published open reference implementations for community adoption

Engineering Team Automation Toolkit

A collection of reusable automation patterns for software teams — from CI/CD pipeline templates to documentation-as-code workflows that reduce operational overhead and improve consistency.

Technologies

TypeScriptGitHub ActionsMarkdownBash

Outcomes

  • Standardized onboarding across multiple teams
  • Reduced repetitive manual tasks by automating common workflows
  • Improved documentation quality through structured templates

Cloud Infrastructure Migration Framework

A structured approach for migrating legacy monolithic applications to cloud-native architectures using infrastructure-as-code, containerization, and gradual strangler-fig patterns.

Technologies

TerraformKubernetesAWSGoHelm

Outcomes

  • Enabled zero-downtime migration for production services
  • Reduced infrastructure costs through right-sizing and auto-scaling
  • Established repeatable migration playbooks for future projects