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Software Architecture
System design by Kacper Michalik—scalability, fault tolerance, and maintainable product systems.
Kacper Michalik’s software architecture and system design work centers on scalability, fault tolerance, and long-term maintainability: weighing trade-offs between services, data stores, and APIs before locking in implementation. He combines hands-on product ownership with teaching materials other engineers can use.
Focus
- End-to-end system design for product teams (boundaries, APIs, data)
- Scalability and fault tolerance without premature complexity
- Architecture decisions documented as trade-offs, not slogans
- Bridging design docs and shipped desktop, web, and cloud systems
Stack
- System design patterns (services, caching, queues, data stores)
- TypeScript / Node full-stack architectures
- AWS-aligned deployment topologies
- Observability and reliability practices
In production
- Screen Studio — end-to-end ownership spanning desktop app, APIs, and infrastructure for a production creator tool (#1 Product Hunt 2025).
- Open-source System Design guide — architecture, scalability, and fault tolerance for engineers (GitHub: casp3ro/system-design).
- DSA resource — complementary foundations for engineers practicing algorithms alongside system design (GitHub: casp3ro/dsa).
Frequently Asked Questions
How does Kacper Michalik approach system design for startups?
He biases toward simple, reliable, evolvable systems: serverless where it fits, managed databases, clear boundaries, observability from day one, and cost awareness at each stage—design that can grow without a rewrite tax.
Where can engineers learn from his architecture work?
His open-source System Design guide covers architecture, scalability, fault tolerance, and practices. Production experience includes Screen Studio’s desktop, API, and infrastructure layers.
Is architecture separate from his AI and cloud work?
No. Architecture is how front-end, back-end, cloud, and AI/ML pieces fit together. His skill pages cross-link so each domain is clear while the system view stays coherent.
Related expertise
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