I'm a Senior/Staff Infrastructure Engineer with 12+ years of experience architecting distributed systems, cloud architectures, and enterprise platform services. I specialize in leveraging Go, Kubernetes, and Terraform to modernize cloud footprint strategy, optimize developer velocity, and sustain 99.99% availability via data-driven SLO management.
Aa a collaborative technical leader, I focus on partnering across engineering organizations to align infrastructure strategy with business scale.
- High-Scale Distributed Systems: Re-engineering legacy environments into highly available, resilient cloud architectures across AWS and GCP.
- Infrastructure as Code : Managing immutable, ephemeral environments using Terraform and Docker to eliminate configuration drift.
- Developer Tooling & CI/CD: Modernizing and parallelizing high-throughput deployment pipelines and monorepo build systems to maximize engineering velocity.
- Data-Driven Observability: Architecting robust telemetry pipelines and SLO frameworks to proactively manage error budgets and maximize uptime.
- Day Job: Provisioning automated, ephemeral environments and migrating legacy build services to dynamically scaled Kubernetes clusters.
- Open Source: Contributing to mobile observability standards and exploring open-source telemetry frameworks.
- Exploring: Building algorithmic trading tools and analyzing quantitative probability models for prediction markets.
| Programming | Cloud Services | CI/CD & Infrastructure | Data Systems | Observability | AI Tooling |
|---|---|---|---|---|---|
|
Go Python Bash Java Swift Kotlin |
AWS GCP Digital Ocean |
GitHub Actions CircleCI ArgoCD Buildkite Bazel Kubernetes Terraform Docker |
PostgreSQL MySQL Redis MongoDB |
Datadog Sentry Prometheus Grafana |
Gemini Claude Code Agentic Workflows MCP Servers |




