Szymon
Piskorz
I automated things in Minecraft that you hadn't dreamt of
// System documentation
I build things that you want in a way that I am proud of.
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 - Software, Operations, DevOps, Platform, Monitoring, Kubernetes, Cloud, Lead, Architect, ML Systems Engineer, and now Data Engineer at Roche. At this rate I'll probably be a Quantum Blockchain AI Engineer by next Tuesday. Nobody knows what it means - but it's provocative. Gets the people going.
I like building things that work reliably at scale - automating workflows, designing cloud architecture, shipping ML pipelines - with a bias toward practical solutions teams can actually maintain. I'm comfortable across the full stack, from network configs to distributed systems to model deployment.
Currently fascinated by how ML/AI tooling is changing the way we build and operate systems. Always learning, always building. Strong believer in automation, good documentation, and systems that don't wake you up at 3 AM.
Worked with teams at
// Career trajectory
Experience timeline
Drag the marker across the timeline to explore past deployments.
European Commission
Architect
Remote · Contract
Designing internal platform services for artifact management and container delivery - shared, auto-scaling infrastructure now used across multiple teams.
- Built the business case and design for consolidated artifact management across the organisation.
- Cut cost by replacing individual managed instances with shared, auto-scaling infrastructure.
- Designed security layers that proxy public registries and enforce vulnerability policies.
- Planned disaster recovery for hybrid on-prem + AWS environments.
- Review peer architects' proposals and mentor developers on cloud and platform tech.
// What I do
Core arsenal
Cloud & Orchestration
Migrating monolithic workloads to serverless. Architecting resilient EKS, Fargate, OpenShift, and Lambda infrastructures.
IaC & CI/CD
Automated code quality, GitOps, and reproducible infrastructure deployment across enterprise teams.
ML / AI Ops
Near-zero downtime data pipelines. LLM inference via Bedrock and complex Airflow orchestration.
Platform Engineering
Internal developer platforms and golden paths. Self-service infrastructure and artifact management on shared, auto-scaling foundations.
ETL & LLMs
Refining enterprise ETL platforms and embedding LLM inference into data pipelines. Data-quality validation scaled from 3% to 100% coverage.
Automation
If it happens more than once, I automate it. From my espresso machine and lawn mowing to scaling LLM platforms - let the system do the boring part.
// Skill matrix
Proficiency cloud
Size, weight and glow scale with proficiency. Filter by category.