I'm Simon, and I work with technology to solve problems. Every day I seem to discover a new version of what kind of engineer I am. Started as Software, evolved to Operations, then DevOps, Platform, Monitoring, Kubernetes, Cloud, Lead, Architect, Data Engineer, and now ML Systems Engineer. At this rate, I'll probably be a Quantum Blockchain AI Engineer by next Tuesday.
I like building systems that work reliably at scale. Whether it's automating workflows, designing cloud architecture, or implementing ML pipelines, I focus on practical solutions that teams can actually maintain. I'm comfortable across the full stack - from network configs to distributed systems to ML model deployment.
Currently fascinated by how ML/AI tooling is changing how we build and operate systems. Always learning, always building, always trying to make things work better than they did yesterday.
Leading teams isn't about being the loudest voice in the room - it's about amplifying everyone else's. I focus on upskilling teammates, removing blockers, and creating environments where people can do their best work. Teaching how to solve problems while staying open to learning from everyone. The best code reviews are conversations, not lectures. Success means delivering value while keeping both engineers and business stakeholders happy.
I listen, I think, and when I don't know something, I learn. Then I architect solutions - whether it's ETL pipelines, internal developer platforms, microservices, or public-facing web applications. Every problem is different, but the approach is the same: understand requirements, evaluate options, design pragmatically, implement iteratively. No ivory tower architecture - I stay hands-on and build alongside the team.
I learn every day. One year ago, I barely understood ML beyond a university course I scraped through. Now I'm building ML systems in production. I thrive on new technologies and unfamiliar challenges. Give me a new framework, cloud service, or problem domain, and I'll prototype, experiment, and ship. Learning by doing is my superpower - whether it's Kubernetes, ML pipelines, or tomorrow's tech stack.
Technologies I work with most often • Size = usage frequency • Color = technology type
Companies and organizations I've worked with
Selection of my open-source projects from GitHub
Automation for tracking Polish car market for provided car models. It uses Selenium to scrape the price daily and updates the json file with result if there were differences.
It generates my CV by filling jinja templates for PDF and HTML and populating it with information from a YAML file and APIs. It is then deployed on AWS using S3 and CloudFront.
This is a project for a Discord bot that allows administrators to observe their servers and enforce additional rules like curse blockage or leveling for writing in channels etc. Also it can play music.
Project for university course that was all about web languages and development of frontend and backend.
Project for my university's Object Oriented Programming course. A chess game written in Java.
This is a project for my university course for Software Development Processes. It is a human detection in the video file based on OpenCV and TensorFlow.