Technical Depth

Engineering Expertise & AI SDLC

I maintain hands-on technical depth across architecture, security, cloud, data, and AI. The point is not to collect domains. It is to understand enough of the system to solve the real problem and make better engineering decisions.

Platform Architecture

Designing and building platform systems that serve multiple product teams and business functions. From GCMS replatforms to CI/CD foundations to developer tooling ecosystems, I focus on systems that create leverage.

  • Microservices architecture
  • Event-driven systems (Cloud Pub/Sub)
  • Container orchestration (Kubernetes)
  • Infrastructure as Code (Terraform)
  • API design and governance
  • Software change management systems

Security Engineering

Security embedded at the platform level, not bolted on after. From Cyber Defense operations to API security CI tooling adopted across Ford, I treat security as part of how good systems are designed.

  • API security automation (CI-integrated)
  • DevSecOps pipeline design
  • WAF/DDoS platform automation
  • Cloud security (Cloud Armor, IAM)
  • Security governance frameworks

Cloud Architecture

Multi-cloud experience spanning GCP and AWS. Led complex migrations, designed cloud-native architectures, and built infrastructure automation at enterprise scale with attention to cost, resilience, and adoption.

  • GCP (Cloud Run, Cloud SQL, Pub/Sub, Cloud Armor, BigQuery)
  • AWS (EC2, RDS, Lambda, S3)
  • Data platforms and warehousing patterns
  • Operational databases: Cloud SQL, Spanner, AlloyDB/Postgres, MongoDB
  • Hybrid cloud strategies
  • Database migration and optimization
  • Cost optimization and FinOps

DevOps & CI/CD

Built CI/CD infrastructure from scratch for platform organizations. Release tooling, deployment automation, environment strategy, and developer experience all matter when delivery becomes a systems problem.

  • CI/CD pipeline architecture
  • Release management tooling
  • GitOps workflows
  • Container registries and artifact management
  • Deployment automation (zero-downtime)
  • Developer workflow optimization

AI Enablement & AI SDLC

Leading AI integration across the full software development lifecycle, from code generation and review to testing, deployment, and operations. I care less about AI theater and more about practical tooling that helps engineers make better decisions faster.

  • Built Hermes Mass AI — real-time data platform that replaced manual EV mass tracking, cutting cycle time for vehicle weight compliance decisions
  • AI SDLC strategy embedded across planning, coding, testing, and deployment phases
  • AI-assisted code review, generation, and refactoring (Copilot, custom agents)
  • AI-driven automated testing and test generation
  • AI in CI/CD pipelines — intelligent gating, risk scoring, and deployment decisions
  • Developer productivity tooling with AI pair programming
  • SDLC process automation — AI agents for documentation, architecture review, and dependency analysis

Enterprise Systems

Deep experience with enterprise systems that have real operational and financial consequences. ERP modernization, authentication, integrations, and business tooling are where architecture decisions stop being abstract.

  • ERP system modernization (Java)
  • Enterprise SSO (Okta)
  • SaaS evaluation and integration
  • RESTful API development (Node.js)
  • Vendor management and roadmap alignment
  • Business tooling for finance, supply chain, and engineering workflows