AI ORCHESTRATOR · FULL-STACK · DATA SCIENCE · ML
Founder's idea → working MVP. Fast. Autonomous. No hand-holding.
I'm Andrii Radkovskyi — AI Orchestrator. I direct AI agents across the full stack: product development, data science, ML, deployment. One person doing what used to take a team. Twenty years in nuclear power — where getting it wrong isn't an option. Same discipline, now in software. Already shipping.
The exact match
You described the person you are looking for — fast with a product, autonomous in technical decisions, AI as the key parameter, delivers to a working result, no micromanagement. Here is that description, set against the evidence.
Built an electricity forecasting product end to end — solo. Requirements, data pipeline, ML ensemble, full-stack app, DevOps. One month to a working MVP. Not with a team — with AI agents I directed. That's the method.
For me AI agents are not a side helper — they are the main production force, on every phase. The product is the proof, not the claim.
I don't just build the app on top. I go from raw data to a production model — feature engineering, model selection, ensemble, validation on real data. You know what that pipeline takes. You know it's usually a team. I do it solo.
You wrote "senior-level ownership". I have twenty years of it — on the operational line of the national nuclear operator, deciding in real time and answering for the outcome. Ownership is not a title I take; it is a reflex I trained.
The strongest project — in production, earning daily
Hourly electricity-consumption forecasting for a regional power company — in production, earning money every day. The hard constraint: forecast for tomorrow ready by noon, with only yesterday's actuals as input. Engineered to be accurate inside that real-world limit.
The method
One method. Every project. Three stages — and what matters is what each one actually holds.
Understand the task
Not the brief as written — what the founder actually needs. Most engineering failures start here. I stay until I understand the real problem, not the described one.
Design and build
Architecture before code. MVP before full product. Every iteration tested against reality, not the spec.
Ship and own it
Fully agentic build — AI agents through code, tests, DevOps. The product ships, stays running, and I stay accountable.
A prototype instead of a specification
A working product — even a single file — beats a stack of documents. It gets tested in reality at once.
Design from the failure scenario first
Before the happy path, the worst case. Twenty years of investigating accidents taught me this is engineering, not pessimism.
The discipline and the pace
Twenty years in nuclear power — the whole path, from the ground up to the top of the operational line. Then, at Energoatom — the national operator of every power unit in Ukraine — senior analyst for the investigation of emergency situations across all of the country's nuclear plants: root-cause analysis, finding hidden defects before they become events.
That is the discipline of a field where a mistake is not allowed to exist. It is exactly what I bring into software — and it is rare in this industry.
I came from that world, made one decision, and went all in. The result: a working ML product, a domain I'd never touched, full cycle, solo. That's the pace I move at. Senior-level ownership isn't about years in software — it's about who makes the call under pressure and owns what happens next. That's a reflex, not a claim.
The proposal — zero risk for you
I don't know your startup yet. That is not a gap — it is the point. Understanding what the founder actually needs, beneath the words, is the first and most important skill. Everything after it is execution.
One real task. One week. Freedom to act — no micromanagement.
A deep reading of the task and a solution architecture — most likely an MVP architecture as well. A concrete result you can judge.
You risk one week. In return you see exactly who you are dealing with — before any commitment is made.
Let's talk
If the person you described is the person on this page — here is how to reach me.