A developer gone deep on AI. At home I serve open-weight models from my own small cluster, runbooked like production: the limit of my reach, not of my ambition. I want this work at a scale my spare room can’t hold.
Good infrastructure is invisible. No red dashboards, no heroics at 3 a.m. Just systems that hold their shape while everything around them moves. I design for that silence.
Fourteen years from freelance PHP to production systems for Swiss enterprise. I’m a doer by nature and a workhorse by reputation. Happiest where the work is concrete and the system has to hold. Born in Ukraine, raised in Hungary, at home in Switzerland.
The architect draws the arch; I’m the one who knows when the mortar is just right and how the brick will settle. What I want now is simple: AI engineering, paid, at a scale bigger than my spare room, with a team and a budget. I bring what AI teams usually learn the hard way: IaC, secret handling, CI/CD, incident calm, plus daily hands-on time with the inference stack most people only read about.
Focus
LLM inference · Agents · Azure
Base
Switzerland, on-site & remote · Working in English
Status
Senior engineer · Open to AI roles
Clearance
Swiss security-cleared
02 — Selected WorkAI systems first, platforms behind them · Details on request2
01·2025 — Now·Lab · AI infrastructure
Home inference, production habits
Open-weight models (GLM, Qwen, DeepSeek) served through vLLM, from consumer GPUs up to Grace Blackwell. Dual GX10s are the best I could buy; the runbooks are written for the clusters I haven’t been handed yet.
vLLM · CUDA · Self-hosted
02·2026·Lab · Agents
Self-hosted agent tooling
A DeepSeek Harness search-and-fetch plugin on self-hosted Firecrawl, built for my own bench. Nothing phones home: my day job lives in banking-grade closed systems, and my models live at home for the same reason.
TypeScript · dsh · Firecrawl · Self-hosted
03·2024 — Now·Cloud operations
Shareholder meetings that cannot fail
I run the Azure infrastructure, plus React and Spring Boot applications, behind annual general meetings: seasonal peaks, no tolerance for downtime. Security at both levels: hardened code and dependencies above, reviewed configurations, access, and secrets below.
Azure · Terraform · Spring Boot · React
04·2021 — 2024·Re-platforming
Monolith to Azure, without the drama
Part of the team that moved a monolithic on-premises system to Azure. My share: legacy code containerized to run on VMs, behind NSGs and a WAF, patched and up to date.
Docker · Terraform · NSG · WAF
03 — PracticeFour things, done well
Four things I do well. Everything else I delegate, automate, or decline.
a.LLM inference & serving
Open-weight models on my own GPU cluster, served for daily use: OpenAI-compatible APIs, metrics, gateways, and model lifecycle from download to benchmark. Profiling, optimizing, finding the bottleneck. I know this stack from operating it. Not just from calling it.
b.Agents & evals
Harnesses, tool integrations, and two-model orchestration against local models, including self-hosted search tooling. Artifact pipelines with compile gates. Model output is untrusted input until proven otherwise.
c.Cloud & platform
Azure platforms with Terraform and Ansible that behave the same on Friday as on Monday. Financial-grade, audit-friendly. The boring foundation AI systems need underneath them.
d.DevSecOps
Dependency management, secret handling, access reviews, configuration hardening, for the application and the infrastructure under it. AI systems get the same treatment: no keys in prompts, no trust without verification.
Operating principles
i.Boring technology, operated brilliantly.
ii.If it pages at night, the design failed first.
iii.Automate the toil; keep a human for the judgment.
iv.Invisible is a feature. Ship silence.
v.Execution outranks credentials.
vi.Live on the bleeding edge; find the bottleneck.
04 — LogA short ledger
Period
Role
Context
Ground covered
2025 — now
AI Systems, Independent
Homelab: self-hosted LLM serving
vLLM · Evals · Agents
2024 — now
DevOps / DevSecOps Engineer
Shareholder meeting systems, Azure
Security · Terraform · Spring Boot
2023 — 2024
Project Lead, Automation
Financial infrastructure, RHEL
Ansible · DRP · GitLab
2021 — 2024
Cloud DevOps Engineer
Legacy monolith → Azure VMs
Docker · NSG · WAF
2020 — 2021
Full-Stack Developer, DevOps
Serverless meeting applications
React · Functions · AD B2C
2019 — 2020
Project Lead, Developer
Sustainability investing app
React · Node · Jenkins
2018 — 2019
Developer
Online identification service
Cloud apps · Onshore–offshore
2016 — 2018
Frontend Developer
Telecom modernization
Sitebuilds · Design implementation
2012 — 2016
Full-Stack Developer
Freelance & agency work
PHP · SysAdmin
Fourteen years of production, from freelance PHP to AI systems. Full CV with client history and references on request.
05 — CompanyThe crew, so far
I do my best work beside people better than me at what I’m not.
Twenty-five years of mission-critical systems, most of it inside Swisscom, the deepest architect I have ever met, and a former coworker. He draws the arch; I lay the bricks.
Udanvita · Sovereign AI · Switzerland
Notes
1Boring on purpose. In infrastructure, excitement is usually an incident with a timeline.
2Client systems can’t always be shown. I’m happy to walk through architecture and decisions on a call.
3This page ships no framework, no images, and no trackers. Designed and built with an AI assistant. The right tool for the task; my local models handle the half that stays private.
06 — Contact
Have something that needs to hold?
I’m looking for one well-scoped AI system to pour fourteen years of production discipline into: inference, agents, or the platform underneath. Tell me what you’re building; I’ll tell you honestly whether I’m the right pair of hands. And if it’s something I love, you’ll get the cherry on the cake too.