ML Engineer · Founder · Researcher

Production systems, for the business.

Krystsina Shpileuskaya is an ML engineer and published researcher in Berlin. She delivers systems that run in production, and she works directly with business and product teams: the problem in their words, the result as software their team can run.

Portrait of Krystsina Shpileuskaya
CTO
Co-Founder of Sipoza
5 yrs
Engineering at PwC
3
Peer-reviewed papers (IEEE, MIT Media Lab)
5
Languages spoken

Services

From idea to production.

Prototyping & Proof of Concept

Testing an AI idea on your real data before committing to a full project. A working prototype with a clear assessment of its performance and limitations.

Language & Document AI

Question answering over your own documents, information extraction, document matching and rule checks. Built for accuracy, with a clear line on where a person should stay in the loop.

Custom ML Models

Prediction, classification, recommendation and image models trained on your data when off-the-shelf AI isn't enough. Designed to be measurable from day one.

Search, Data & Integrations

Semantic search, ranking, data pipelines, APIs and integrations into your existing tools. The data foundation underneath every AI system that works.

AI Evaluation & Compliance

Testing whether AI systems are accurate, robust and fair, and preparing them for requirements like the EU AI Act. Grounded in published research on AI robustness.

AI Technical Leadership

Interim technical lead for AI initiatives in companies without an in-house AI team: architecture, roadmap, technology and hiring decisions, and hands-on building.

How we work together

Clear. Focused. Built to last.

01

Understand the problem

A first conversation, then a close look at your product, data and constraints. The result is a clear assessment of where things stand and a prioritized plan for what to build.

02

Build what matters

Robust architecture and a production-grade system, focused on the use case that creates the most value. Designed for production from the start.

03

Hand over

Documentation and knowledge transfer, so your team can own and extend the system. Where it helps, I stay involved beyond launch.

What an engagement can deliver →

Have a technical challenge in mind?

Get in touch, and let's see how I can help.

Start a conversation →