Three ways to work together

Senior DevOps, cloud and MLOps engineering through my own practice: scoped, delivered as code in your repositories, documented and handed over.

Consulting / Audit

Consulting & audit

On request

A second pair of senior eyes on your platform.

  • Architecture and pipeline review with a written findings report
  • Security, reliability and cost quick-wins list
  • Prioritised roadmap and effort estimates
  • Optional hands-on pairing session with your team
  • Half-day to one-week engagements
  • Written report you keep
  • Follow-up call included
Get in touch
Retainer

Retainer / monthly support

On request

An on-call DevOps engineer without the hire.

  • Reserved monthly hours with a guaranteed response time
  • Kubernetes, cloud and pipeline maintenance and upgrades
  • Incident support and post-incident reviews
  • Monthly report of work done and recommendations
  • Flexible hour blocks, rolled over one month
  • Priority scheduling
  • Cancel with one month's notice
Get in touch
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Three capabilities

DevOps & cloud platform engineering

CI/CD, Kubernetes, infrastructure as code and observability on AWS, Azure and GCP: the production backbone I build and run at LSEG, Hitachi and in research labs, delivered for your team.

  • CI/CD pipelines (GitLab CI, GitHub Actions, Jenkins) with validation gates
  • Kubernetes platforms (EKS/AKS/GKE) with Helm, GitOps and policy enforcement
  • Terraform/Ansible infrastructure, secrets with Vault, OIDC-based identity
  • Prometheus/Grafana/ELK observability and SLO-based alerting

MLOps & AI infrastructure

Take models from notebook to production: reproducible training environments, model validation in CI, versioned releases, GPU/edge inference clusters and experiment tracking.

  • CI/CD for ML workloads with automated model validation
  • Training and inference infrastructure (cloud GPUs or NVIDIA Jetson edge clusters)
  • Kubeflow / MLflow / Argo CD workflows and model serving (Triton)
  • Monitoring for data and model drift
PythonTensorFlowPyTorchKubeflowMLflowTriton Inference Server

Software development

Full-Stack Developer work, back end to front end, for platforms that need to scale (REST/WebSocket APIs, micro-services, Unity/VR applications and embedded integrations) with testing and deployment included.

  • Node.js/Express or Python/Flask backends with OpenAPI docs
  • Responsive frontends and real-time features (WebSockets)
  • Unity (C#) applications and sensor/hardware integrations
  • Automated tests (Jest, pytest, Selenium) wired into CI

Scoped, in your repos, handed over

01

Discovery call

30 minutes to understand the system, the constraint and what "done" means.

02

Written scope

Milestones, deliverables and an estimate. You keep the document either way.

03

Delivery as code

Infrastructure, pipelines and docs land in your repositories with weekly demos.

04

Handover

Recorded walkthrough, runbooks, and 30 days of post-delivery support on projects.

Questions clients ask most

A short discovery call, then a written scope with milestones. Everything I build lands in your repositories as code (infrastructure, pipelines, docs) with weekly demos and a recorded handover at the end.

Fully remote, from Bucharest (EET/EEST, UTC+2/+3), with overlap for European and UK working hours. I can come to your office whenever it's needed: kick-offs, workshops, planning sessions or anything that works better in person.

I'm available full-time on a B2B contract, through my company. Consulting and audits can usually start within two weeks; for longer contracts we agree the start date together.

Yes, and they're what I'm looking for. I join your team full-time on DevOps, cloud or MLOps work for as long as the work needs it, with the contract renewed as it continues. Day to day I work in your tools and rituals (stand-ups, sprints, code review, on-call if agreed), like anyone else on the team.

Also yes: an audit, a cloud or Kubernetes migration, a CI/CD or MLOps pipeline set-up, or a few weeks of extra hands before a launch. Each one is scoped in writing with a clear outcome and handed over with docs, so your team owns it afterwards.

I invoice through my Romanian company; its identification details are on the Legal page. Invoices are issued monthly or per milestone, in EUR or RON, with standard 15-30-day payment terms.

Yes. I'm happy to sign a mutual NDA before any technical discussion, and client work stays confidential by default: nothing appears on this site without written consent (that's what the "confidential client" labels are for).

Mainly Kubernetes, Terraform, Ansible, Helm, GitLab CI / GitHub Actions / Jenkins, AWS / Azure / GCP, Prometheus / Grafana / ELK, Python and Node.js, plus TensorFlow / PyTorch and Unity on the research side. The full list with everything I've used each one in is on the Stack page.