HI, MY NAME IS

SAMUEL

I BUILD IT STUFF

8+ years building

production-grade distributed systems,

architecture and security

Welcome

Who am I?

Senior Software Developer with 8+ years of experience building production-grade distributed systems, from enterprise messaging to railway operations. Interim Product Architect since May 2026 and Security Champion since July 2026 for train-information systems covering passenger and cargo transport. Stack: Java, TypeScript/Angular, Kafka, Kubernetes/OpenShift, GitOps. GitHub Copilot accelerates delivery. Accountability stays with humans. Here are a few technologies I've been working with recently:

Java 25
TypeScript
Angular
Kafka
OpenShift
ArgoCD
MongoDB
Spring Boot

Experience

Senior Software Developer

Fincons Group AG

October 2022 - Present

Interim Product Architect on the SBB client assignment since May 2026: architecture and interface decisions for passenger and cargo train-information flows.

Security Champion since July 2026 for those systems: embedding secure design, vulnerability hygiene and security requirements into agile delivery.

Develop software in a nationwide train-information system and contributed to decommissioning a nearly 60-year-old mainframe.

Work in Java, Spring Boot, Angular, Kafka, MongoDB and Kubernetes/OpenShift with GitOps. Mentor new engineers. GitHub Copilot with human review.

more info

Featured Projects

CFC: Rust-Powered Tool for LLM Context Generation

Context File Concatenator (CFC) is a desktop tool that selects, filters, and concatenates project files into one LLM-ready context. The architecture is split: a Rust backend for file I/O and search, and a lightweight WebView UI (Wry and Tao). Tokio handles async I/O. Rayon parallelizes search so large directories stay responsive. I specified the architecture, features, and quality bar. Implementation was accelerated with generative tools. Review and validation stayed human.

rusttokiorayonwry & taojsmonaco-editorgithub-actions

GITHUB CONTEXT FILE CONCAT

LLM Job Market Analytics

A Go system that ingests job postings from public portals, then uses LLM APIs (OpenAI and Anthropic) to extract structured fields for analysis. Ingest, enrichment, and storage are separate modules. Results land in MongoDB and are served through an API. Prometheus and Grafana cover runtime metrics. Components run in Docker and can be deployed on Kubernetes. Collection runs on a configurable schedule. Personal analytics project. Not a commercial job board.

GOMongoDBDockerK8sPrometheusLLMChatGPTAnthropic

GITHUB GO JOB ANALYTICS

all projects

Latest Blog Articles

MCP: a contract between models and tools

What the Model Context Protocol actually is: host, client, server, tools as APIs, and the failure modes that show up once a stochastic caller has side effects.

WebAssembly as a compilation target

A 2023 note on WebAssembly as a compilation target for the web: where it helps, where JavaScript still wins, and which trade-offs matter in production.

WebSockets and real-time communication

When a long-lived TCP connection is the right tool, when HTTP or events on the server side are enough, and how a minimal Java endpoint looks.

All Blog Articles