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Fractional CTO | Architecting AI-Ready Data Foundations

Helping startups bridge the gap between strategy and AI data infrastructure
Professional headshot of Krzysztof Słowiński, an independent Fractional CTO specialising in Data and Cloud Engineering, wearing a white shirt against a neutral grey background.

The Philosophy

With over a decade of experience in software, data and cloud engineering, I help growth-stage companies move beyond data plumbing. My approach is built on three core convictions:

  • Specialist over generalist: Solving complex data infrastructure problems requires deep, specific expertise, not broad generalisations.
  • Focus over hype: In an era of AI noise, I prioritise building high-fidelity environments where ownership is clear and data is production-ready.
  • Stability over speed: I specialise in building scalable foundations that are ready for the speed of AI, without the risk of big bang failures or usage spikes.

The goal is to turn your data infrastructure from a primary strategic risk into your most powerful accelerator.

Strategic Leadership & Data Architecture

Fractional CTO Services

Providing technical roadmap alignment, hiring strategy, and organisational design for scaling engineering teams.

Data Mesh Implementation

Decoupling central bottlenecks by shifting data responsibility to domain experts using data contracts.

Cloud FinOps & Governance

Leveraging 6 years of AWS consulting to optimise cloud spend while maintaining high-performance infrastructure.

Fractional CTO | Kodlot

6 years of providing strategic technical leadership for scaling startups. Architecting resilient data foundations and navigating complex cloud transitions to turn data infrastructure into a strategic asset.

Technical Leadership | Roche

Led a cloud engineering team of 11 to architect and implement a global GTM platform on AWS, focusing on scalability and cross-domain data enablement.

MLOps & AI Infrastructure | Tele2

Engineered the foundation for a centralised AI Hub, bridging the gap between raw data sources and production-ready model deployment.

Talks

I believe that scaling technology requires a community-driven exchange of ideas. I like to share my findings on cloud architecture and data infrastructure at international conferences and local events, focusing on the practical execution of complex systems.

Øredev 2023

Engineering Scalable IaC Solutions to Overcome Cloud Limits

Presenting at Øredev 2023 on navigating cloud limits with scalable IaC patterns.

Data Innovation Summit 2022

Data Mesh with AWS CDK

Sharing a practical implementation of data mesh using AWS CDK at the Data Innovation Summit 2022.

Core Expertise

Core Languages: Python, TypeScript, Java, Rust, Scala
Cloud & Data: AWS (CDK, Glue, Lake Formation), Spark, Airflow, dbt
Education: MSc in Software Engineering, Technical University of Denmark

Engagement & Strategy

Is your data architecture ready to scale with AI? Let’s discuss how to bridge the gap between your current stack and your long-term strategy.
[Download Traditional CV (PDF)]

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