Balun Energy
CTO of a Viennese Startup making world's best wind power forecasts with AI. ~3mio€² in funding, forecasting for 20%¹ of Austria's wind capacity.
I'm Yury: 10+ years shipping data projects; I bring a pragmatic, outcomes-first approach and love a good challenge.
I combine technical leadership (setting direction, unblocking teams, making tradeoffs) with implementation (models, data pipelines, deployment, monitoring).
I’m best when the problem is ambiguous, high-impact, and time-sensitive: turning “we should do AI” into a shipped product with measurable results.
Data Science & Machine Learning
Production & MLOps
Tech Leadership
Deciding what to build, or need someone to own delivery?
Book a 15-min fit call. I'll ask a few questions, then tell you whether I'm the right fit and what the fastest path looks like.
A selection of (non-NDA) projects
CTO of a Viennese Startup making world's best wind power forecasts with AI. ~3mio€² in funding, forecasting for 20%¹ of Austria's wind capacity.
Transforming terabytes of sensor data into actionable insights for a leading European steel manufacturer. I developed machine learning models and real-time dashboards that identified critical furnace issues, saving millions of euros in scrap metal costs and establishing a permanent shop-floor monitoring system.
A customizable new‑tab experience that lets you design your own start page with drag‑and‑drop widgets.
Developed a log-face detection system for a leading European timber processor using just 50 training examples. My few-shot learning approach achieved 99%+ accuracy in production, enabling automated quality classification at conveyor speed.
Energy consumption forecasting for one of Europe's leading steel manufacturers with AI. In just days, I developed a proof-of-concept that achieved 97% accuracy for day-ahead predictions, enabling optimized electricity trading.
A collection of generative art pieces exploring geometry, randomness and emergence using Processing.
Digitalising wagon allocation for a pan‑European rail freight leader. I worked with Rail Cargo Austria and research partners to turn a manual planning process into a data‑driven system that anticipates uncertainties in demand and generates optimal wagon plans within minutes.
A multi‑agent reinforcement learning experiment where simulated ants learn to cooperatively build towers.
Building a custom document scanner outperforming Google Tesseract by 10x in accuracy and 100x in speed across 15 European languages simultaneously.
Building a production recommendation system from scratch using Singular Value Decomposition that delivered accurate personalized suggestions from sparse user rating data.
A fully remote‑controlled 2.7 kg rover built from scratch with 11 motors, pneumatics and realistic functions.
A kitchen experiment in making fresh ricotta cheese and turning the leftover whey into sweet brunost.
Recent writing and thoughts
April 10, 2026
Practical context engineering patterns for building reliable, EU-sovereign enterprise agents — from strict guardrails and structured retrieval to production tactics like retries, escalation, and lightweight evals.
February 25, 2026
Materials for the Machine Learning on Big Data workshop for Lumos Student DS Consulting
January 27, 2026
What happens when your AI agent hallucinates a legal citation or a refund policy? Concrete ways to architect for reliability when deploying autonomous agents.
January 20, 2026
A simplified answer to when knowledge graphs add value to RAG systems versus when they just add unnecessary complexity.