Sebastian
Senior Fullstack / Backend Engineer
9+ years building scalable backend systems, REST APIs, cloud infrastructure, and modern frontends. I turn complex requirements into clean, maintainable software.
About Me
I'm a senior software engineer with 9+ years of experience designing and building production systems across diverse industries. My core strength is backend architecture — APIs, databases, cloud infrastructure, and distributed systems — but I'm equally comfortable building modern frontends when the project calls for it.
Core Focus
- Backend architecture and API design (REST, microservices)
- Cloud infrastructure (AWS, Google Cloud)
- Database design and optimization (PostgreSQL, Redis)
- Event-driven and distributed systems
- Modern frontend development (Angular, React/Next.js)
- DevOps, containerization, and CI/CD pipelines
What Sets Me Apart
- Full ownership from architecture to deployment
- Strong emphasis on clean code and justified technical decisions
- Experience across startups and enterprise environments
- Pragmatic approach: solve the real problem, avoid over-engineering
Projects
Real-world demonstrative projects with serious architecture, clean code, and live deployments. Each one showcases different aspects of full-stack engineering.
NexusCRM
Coming SoonMulti-tenant CRM with full-stack architecture
A lightweight multi-tenant CRM demonstrating SaaS architecture with JWT auth, role-based permissions, and a pipeline-driven sales workflow.
Key highlights
- Multi-tenant data isolation via organization_id
- JWT authentication with access/refresh tokens
- Role-based access control (Owner, Admin, Sales Rep, Viewer)
Event-Driven Onboarding
Coming SoonAsynchronous processing with Go and Redis Streams
A service demonstrating event-driven architecture using Go and Redis Streams. Handles user onboarding through a chain of decoupled workers.
Key highlights
- Redis Streams consumer groups for reliable processing
- Correlation IDs for end-to-end traceability
- Idempotent event handlers with retry logic
Semantic Search API
Coming SoonDocument intelligence with local embeddings
An API for uploading documents, processing them into chunks, generating embeddings with a local model, and performing semantic similarity search.
Key highlights
- Local embeddings with all-MiniLM-L6-v2 (zero API cost)
- Chunking pipeline with configurable overlap
- PDF and plain text document support
Skills & Stack
Backend
Frontend
Databases
Cloud & DevOps
Architecture
Messaging & Async
Testing & Quality
AI & Search
Semantic Search Demo
Try searching through indexed documents using AI-powered semantic similarity
Powered by sentence-transformers (all-MiniLM-L6-v2) — local model, no API costs
Get in Touch
Interested in working together? Feel free to reach out through the form below or connect via social links.
Connect
Location
Remote — Open to remote opportunities worldwide