Cloud architect, AI governance nerd, and recovering FinOps optimist. I help companies govern AI, cut cloud bills, and modernise infra — for more details teleport straight to portfolio.cloudnua.com. This page is the fun alter ego side, to which you are very much welcome.
In other breaking news:
Pragmatic, lazy sysadmin. Survived the Room 101 mire of SRE / DevOps / platform engineering and came out the other side a believer in APIs, cron jobs, and the sheer, underrated brilliance that is
grep.
SLOs for
enda-as-a-service. Incident channel: #enda-is-offline. Error budget policy: aggressive.
| SLI | Target | Current | Error budget |
|---|---|---|---|
| Email response | < 24h | 19h | 79% left |
| Coffee availability | 99.9% | 99.7% | burning 🔥 |
| Job automated | 100% | 0% | ∞ |
| Meetings started on time | > 95% | 91% | 20% left |
| PRs merged same day | > 80% | 74% | 30% left |
| Git force-pushes per week | < 1 | 3 | personal branches, relax |
| Terraform plans read in full | > 90% | 62% | burning 🔥 |
| LLM context window respected | < 80% | 200M/200M | one-shot or nothing |
Status page is eventually consistent. Mostly eventually.
Daily routine of a 99x software guru (allegedly)
- 4:00 AM — cold plunge / ice bath after mountain pass run. Visualise next quarter's OKRs.
- 4:30 AM — read three whitepapers on quantum-AI synergy.
- 5:00 AM —
opentofu plan. Journal about it. - 6:00 AM — record a LinkedIn carousel about my morning guru routine so you don't have to.
Actually:
- 8:00 AM — Coffee. Open laptop (ahem, command centre).
- 8:05 AM — Token maxing / limits reached.
- 8:06 AM — Switch to local Quantum AI Compute.
- 7:55 AM — Multiverse traversal engaged. Branch B.
- 7:00 AM — World domination complete (phew 😌, what took you so long?!) ✅
- 6:00 AM — Back to bed. The 4 AM cold plunge happens to a previous-timeline me.
What I actually use daily (stack dependant)
- Cloud & Infra — Azure, AWS, GCP, Hetzner, CloudFlare, Kubernetes, OpenToFu, Ansible, Docker
- Languages — Python, TypeScript, Go, Rust (occasionally, cautiously)
- Data & AI — Postgres, Azure Storage Account, AWS S3, n8n, oh and a suspicious amount of prompt engineering 🤖
- Tools — VSCode, Cursor, WSL, ZSH, Claude Code,
curl,nc,vim,crontab,gh,jq,uv,bun,turborepo,next.js,react-native
Yes, your eyes are correct — there's no 100-logo shield wall of every tool I've ever touched, in hopes each one trips some HR keyword filter. AI keeps shoving new frameworks into our laps faster than we can git pull...so please sir, how could you know so little? Not sure if I can ssh my way out of this one 😧
If it's not in this list, I'm probably not using it regularly or more likely I am just loosely coupled to strongly held opinions about tech stacks. Let us proceed accordingly to the multiverse as more often than not the qubits are working "...on my machine" just fine. 🔥
Certifications
- AWS Certified DevOps Engineer – Professional
- Microsoft Certified: DevOps Engineer Expert
- GCP Professional Cloud Architect
- CKA: Certified Kubernetes Administrator
Full list with the other 16+ are on my portfolio. The exact count fluctuates with whichever vendor decided to rebrand this month.
- Real life: building, tweaking & debugging the next "One more thing....", learning and being humbled by my lack of knowledge and of course writing the things you're reading.
- LinkedIn: mostly masquerading as a thought leader. Currently 47 likes deep into a thread about how
vimchanged my life and how it's about to change yours. - X / Twitter: screenshotting my own posts back at myself for the algorithm.
