I build systems that stay useful under pressure.

Incoming AI Engineering internship focused on applied AI and production systems.

• Selected to join Guidepoint’s engineering organization as an incoming AI Engineering Intern.
• Role scope and shipped impact will be added when the internship begins.

Platform engineering across cloud infrastructure, deployment automation, and developer experience for an ecosystem of 250+ microservices.

• Architected a Backstage developer platform integrating AWS EKS and ArgoCD, reclaiming 30% of engineering bandwidth.
• Built a Go migration engine that translated Tekton pipelines into GitHub Actions and standardized service onboarding.
• Designed gated hotfix delivery and policy-as-code guardrails with OPA and Cedar, cutting production deployment time by 60%.

Backend performance, asynchronous data pipelines, and serverless browser infrastructure for high-volume product workflows.

• Redesigned TypeORM indexing and access patterns to reduce query latency by 90%.
• Built a scalable TypeScript export pipeline with async streaming, schema inference, and multi-format serialization.
• Deployed headless Chromium as an AWS Lambda Layer for reliable, serverless UI automation.

Modernized operational systems and delivery workflows for one of North America’s largest public transit agencies.

• Migrated applications to Angular and .NET, reducing data-load latency by 60%.
• Designed reusable React reporting primitives that cut feature development effort by 80%.
• Built secure REST APIs and Azure DevOps CI/CD pipelines for automated testing and deployment.

Backend engineering for a recruitment platform processing more than 1,500 candidate submissions each week.

• Shipped Flask and PostgreSQL services for high-throughput candidate processing.
• Improved database performance by 55% through query design, indexing, and triggers.
• Designed APIs and SMTP-based automations for critical business workflows.