Platform Engineer & Infrastructure Architect

Architecting Resilient Platforms for Scale.

I help growing engineering teams build stable infrastructure, automate cloud platforms, and run containerized workloads at scale. I specialize in the Kubernetes control plane—writing custom operators in Go, setting up GPU clusters for LLM inference, and tuning MLOps pipelines. If your systems are lagging or deployments feel like high stakes gambles, let's build a stable foundation.
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Recent Engineering Deep Dives
February 23, 2026

Building CloudDB: A Self Hosted Database Platform for Kubernetes

Running databases on Kubernetes has a reputation for being painful. I built CloudDB to change that: a Kubernetes native, self hosted DBaaS control plane with a React dashboard and a Go API that wraps the Zalando Postgres Operator. Here is what I built, why, and where it is heading.
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January 13, 2025

MLOps: Operationalizing Machine Learning at Scale

Most machine learning projects never make it to production. Not because the models are bad, but because managing stateful training pipelines and dynamic model drift in production requires platform engineering, not just data science. Here is how I approach MLOps, MLflow, and Kubeflow without the textbook fluff.
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February 24, 2022

Observing the Linux Kernel with eBPF

Running sandboxed programs inside the Linux kernel to trace system calls and inspect packet flow without patching source code or loading unstable kernel modules.
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Direct Contact

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Reach out on LinkedIn, X, or GitHub to discuss Software Architecture, Cloud Platform Engineering, or MLOps solutions.
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Infrastructure Platform

Technology Stack

  1. K8S
    Kubernetes Platform
    Fleet management of Talos immutable clusters across bare metal and public clouds.
    Orchestration
  2. GO
    Custom Operators (Go)
    Writing custom controllers in Go to automate application lifecycles and resources.
    Extensions
  3. INT
    CRI, CNI, & CSI
    System integrations directly into container runtime, networking, and storage layers.
    Low Level Interfaces
  4. AGN
    Agentic Development
    Orchestrating autonomous agent environments, dynamic tool routing, and context networks.
    AI Orchestration
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