About
I build systems that people can trust after the demo.
I am Dan Burdetsky, an AI Systems, Automation & Platform Engineer. I design and ship production AI systems, business automation and cloud platforms, and I have spent fifteen years on the operations side of what happens to them afterwards.
Dan Burdetsky
AI Systems, Automation & Platform Engineer
Independent engineer and consultant, 2025 to present
Remote, worldwide
What I do today
Work arrives on WhatsApp, in email, in a form, in a chat, and then someone has to move it by hand. I make those channels behave like one system, with a record of what arrived and what happened to it. Around that I put the things that decide whether it is still running a year later: a model that is checked rather than trusted, a failure that raises an alert instead of going quiet, and a document that goes to a person when nothing should be confident about it.
Clients work directly with me. If a simpler solution is enough, I will say so.
Why production shapes it
I started in broadcast and real-time video, where technical failures are public and time matters. That is a specific kind of pressure: there is no quiet window in which to fix something, and no version of the story in which nobody noticed.
From 2021 to 2024 I was VP of DevOps for an interactive video and live-streaming platform, through its acquisition. I owned hybrid AWS and on-premises infrastructure, CI/CD, observability, disaster recovery and production reliability while leading a hands-on engineering team.
These were systems used by national broadcasters, where an outage is public, expensive and very hard to hide. The platform was used by broadcasters including NBC News, MSNBC and ABC.
That background shapes how I build now. I expect things to fail, make the failure visible, and design a safe way back.
Hands-on, and staying that way
I map the process, build the workflow and the custom code around it, write the infrastructure, test the failure modes, and document the handover. Consulting is how I enter a piece of work rather than a separate thing I sell: reviewing what already exists, finding where the cost actually sits, designing the approach, or leading the build.
I have handed systems over to teams on three continents. Documentation and ownership are part of the build, not something I add at the end.
Working remotely worldwide in English, Hebrew and Russian.
Selected credentials
15+ years across infrastructure, production operations and broadcast/streaming platforms, including VP of DevOps.
- 01 Independent engineer and consultant. AI systems, automation and platform work. 2025 →
- 02 VP of DevOps and Lead DevOps & Automation Engineer, Videoflow, through the company’s acquisition 2021-2024
- 03 Head of Professional Services, CloudZone by Matrix 2019-2020
- 04 Senior Manager, Customer Care, Avid Technology 2015-2018
- 05 Global Support Manager and Tier 3 Team Leader, Orad Hi-Tec Systems 2007-2015
A selected list, not a complete employment history. The consulting practice is a separate chapter rather than a continuation of the role above it.
Led a hands-on engineering team of five to ten at Videoflow, and previously led global technical and support teams of up to about forty. Worked with teams and clients across Europe, the Americas and Asia Pacific.
The platform and reliability years, written up as an experience snapshot
Capabilities
What I am hands-on with.
Five practices. The capability is what you are buying and the tools are a footnote to it, so they are written in that order.
AI Systems & Agents
Agents that take multi-step action, and production AI systems around them. The model proposes. A check decides.
- Agentic workflows
- Tool use / function calling
- RAG / knowledge systems
- Document & image understanding
- Structured outputs
- Validation gates
- Guardrails
- On-device / local inference
Selected stackOpenAI · Gemini · MCP · Claude Code · Codex · Cursor
Automation & Integration Engineering
Systems, people and data connected into workflows that survive real operational inputs.
- Workflow architecture
- Idempotency & deduplication
- Retries & backoff
- Quota-safe writes
- Failure detection & alerting
- Backup & recovery
- Human-in-the-loop
- Data migration & backfill
Selected stackn8n · REST APIs · Webhooks · Slack · Trello · Google Workspace · WhatsApp
Platform, Cloud & Reliability
Production infrastructure, delivery and observability built for failure, recovery and clear ownership.
- Infrastructure as Code
- Container orchestration
- Cloud & hybrid architecture
- CI/CD & release engineering
- Observability
- Incident response
- Disaster recovery
- 24/7 production operations
Selected stackAWS · Kubernetes · Terraform / OpenTofu · Docker · GitHub Actions · Prometheus · Grafana · Datadog
Software Development & Feature Engineering
Features in software you already run, and the applications and checks around it. Written to be handed back.
- Feature development on existing systems
- Taking over inherited systems
- Custom application development
- Desktop applications
- Automated checks in CI
- Review discipline on AI-written code
- Handover & documentation
Selected stackTypeScript · React · Python · Rust · Tauri · GitHub Actions
Digital Systems & Product Engineering
Websites, internal tools and portals built as part of the business behind them.
- Information architecture
- Multilingual & localisation architecture
- SharePoint solutions
- Performance & accessibility
- SEO foundations
- Owner-controlled hosting & handover
Selected stackSharePoint Online · SPFx · React · TypeScript
Engineering foundation
Deep production background, not current hands-on
Real, and no longer what I reach for. Separating the two is more useful than either hiding them or implying they are current.
Straight to me
There is nobody to be passed to.
You would be talking to the person who does the work. Tell me what exists today and where the hard part is.
Message Dan on WhatsApp (opens in a new tab)or email dan@burdetsky.xyz