Software engineer with 17 years of experience building distributed systems, cloud-native platforms, and high-performance backends. Specialized in Go and C++, with deep expertise in Kubernetes, cloud infrastructure, and observability. Open-source maintainer and active contributor across the cloud-native ecosystem.
Currently focused on AI platform and inference infrastructure: model serving, GPU orchestration on Kubernetes, and ML observability.
Languages: Go (5+ years), C++ (12+ years), Python, Rust
Kubernetes & Cloud Native: Kubernetes (CKA + CKS), GKE, Helm, Operators & CRDs, Google Cloud (Professional Architect), AWS
Infrastructure & Observability: Terraform (IaC), Docker, CI/CD, GitOps, OpenTelemetry, Prometheus, Telegraf
Distributed Systems: gRPC, Microservices at scale, High-performance backends
- Maintainer of Telegraf (InfluxData), the widely-used open-source observability and metrics agent
- Active contributor across the cloud-native and observability ecosystem, including upstream work in the Go ecosystem
- Certified Kubernetes Security Specialist (CKS), The Linux Foundation
- Certified Kubernetes Administrator (CKA), The Linux Foundation
- Google Cloud Professional Cloud Architect, Google Cloud
- HashiCorp Certified: Terraform Associate, HashiCorp
- Generative AI Fundamentals, Google Cloud
- Building high-performance backend systems in Go and C++
- Designing and operating Kubernetes platforms and microservices at scale
- Cloud-native architecture, infrastructure automation, and observability
- Maintaining and contributing to widely-used open-source infrastructure
- AI platform / MLOps: model serving (KServe, vLLM) and GPU orchestration on Kubernetes
- ML observability: drift detection and model monitoring, building on deep OpenTelemetry experience
- Inference optimization and cloud-native platform engineering
Open to remote contract engagements in platform engineering, Kubernetes, and AI infrastructure.
Open to discussing platform engineering, AI infrastructure, and cloud-native systems.