About

I’m a Senior DevOps engineer with a software engineering background, using Claude Code, Codex, and agentic workflows for infrastructure development, CI/CD automation, deployments, and troubleshooting. At MSTR, I own infrastructure, security, and production delivery across 8–15 projects, supporting 15 developers and working directly with clients and founders.

I build reusable agent skills and MCP-enabled workflows, with engineering review and validation before release. My startup experience spans end-to-end AI solution delivery, from client requirements and architecture to Python development, cloud deployment, monitoring, and ongoing support.

Experience

Senior DevOps Engineer | AI Automation & Deployment

Oct 2025 — Present

Azure, AWS, Google Cloud, Pulumi, Terraform, CI/CD, Claude Code, Codex

  • Proud to work at MSTR, a Claude Select Services Partner in Anthropic’s Claude Partner Network. In this role, I’ve gained hands-on experience with Claude Code in day-to-day engineering and exposure to Anthropic’s training, partner resources, and Claude Certified Architect team, helping bring AI solutions into production for clients.
  • Build agentic DevOps workflows using Claude Code and Codex for infrastructure development, CI/CD automation, deployments, and troubleshooting; coordinate specialized agents through fan-out/fan-in workflows for research, implementation, and review, validating generated changes before release.
  • Lead infrastructure and DevOps across 8–15 projects as the company’s sole infrastructure engineer, supporting 15 developers through architectural guidance, deployment planning, and production troubleshooting.
  • Identify and implement engineering, maintenance, and cloud cost optimizations contributing to up to €100,000 in projected annual savings and cost avoidance.
  • Serve as the primary infrastructure contact for clients, founders, and developers, translating business requirements into technical solutions and coordinating delivery priorities, dependencies, and escalations.
  • Architect cloud environments across Azure, AWS, and Google Cloud, planning development, staging, and production environments, AI model deployments, and application integrations around capacity, reliability, performance, and cost.
  • Own infrastructure maintenance and deployment automation using Pulumi and CI/CD pipelines, ensuring consistent environments, repeatable releases, and version-controlled infrastructure changes.
  • Lead cloud incident investigations and deployment troubleshooting with Azure and AWS support engineers; coordinate AI quota requests and grants, resolve service constraints, and plan model capacity to address throttling and delivery blockers.
  • Own cloud infrastructure and deployment security across projects, defining and applying access controls, secrets management, secure configurations, ongoing security maintenance, and security reviews.
  • Standardize recurring engineering patterns through reusable project, infrastructure, and CI/CD templates, Claude Code skills, and repository-specific CLAUDE.md and AGENTS.md instructions for maintainable development, secure access, and safe secrets handling.

Startup AI Software Engineer | Forward-Deployed Engineer

Automa Solutions

Aug 2023 — Aug 2025

Python, GCP, Docker, GitHub Actions, REST APIs, Claude Code, Codex, MCP

  • Built AI-powered applications and automations using GPT, Claude, Llama, and Whisper for transcription, summarization, and data analysis; refined prompts to improve output accuracy and reduce token usage.
  • Used Claude Code and Codex for AI-assisted software development, delegating research, implementation, debugging, and review to specialized subagents, then consolidating outputs and validating changes.
  • Integrated MCP servers into agentic development workflows to connect AI agents with relevant tools and project context; created reusable prompts and task instructions for consistent, maintainable execution.
  • Owned end-to-end delivery of AI solutions, covering architecture, Python development, API integrations, testing, cloud deployment, and ongoing support.
  • Worked directly with clients to understand business processes, identify automation opportunities, define requirements, demonstrate solutions, and incorporate feedback.
  • Developed Python-based data collection, web scraping, and ETL systems using legally accessible public sources, integrating REST APIs and databases to automate client workflows.
  • Maintained code quality through pull request reviews and unit, integration, and regression testing, applying SOLID, KISS, and DRY principles and validating AI-generated changes.
  • Deployed and maintained applications on GCP using Docker and GitHub Actions; managed IAM, secrets, Cloud Run, Cloud Functions, Cloud Scheduler, Cloud SQL, and storage, alongside monitoring, logging, webhook alerts, and fallback mechanisms.

Technical skills

Cloud & DevOps
Azure, AWS, Google Cloud, DigitalOcean, Pulumi, Terraform, Infrastructure as Code, Docker, Kubernetes, GitHub Actions, GitLab CI/CD, Linux
AI development
OpenAI/GPT, Azure OpenAI, Claude, Llama, Whisper, prompt engineering, AI integration
Agentic AI engineering
Claude Code, Codex, MCP integrations, reusable agent skills, CLAUDE.md and AGENTS.md instructions, fan-out/fan-in agent workflows
Backend & data
Python, Shell scripting, TypeScript, Flask, Django, REST APIs, Node.js, MySQL, PostgreSQL, MongoDB
Automation & ops
Playwright, Selenium, n8n, Make, Zabbix, Prometheus, Grafana, Git, GitHub, Postman

Education & certification

BS Information Technology

Ateneo de Naga University · University and CHED Scholar for four years

Jun 2019 — Jun 2023

Oracle Generative AI Professional

Certification 1Z0-1127-25

Selected projects

CUDAOps PlatformNVIDIA CUDA 13.1 badge

A CUDA learning lab with a Go API, Redis Streams, CPU/GPU image processing, and Prometheus/Grafana observability.

Interests

Cloud and AI engineering, coding, reading, running, basketball, chess, travel, and golf.