Luigi Spachtholz

VEXES is an end-to-end AI automation platform built to process incoming events, enrich them with contextual data, obtain a controlled LLM decision, validate the result, and execute an action. • Designed a modular event-driven architecture integrating six components: TradingView, n8n, PostgreSQL, OpenAI API, Telegram, and a Python/FastAPI bridge service. • Built independent workflows for event ingestion, data normalization, context retrieval, LLM decision-making, execution guards, notifications, and result

• Built the QA and release process from the ground up, including requirements review, risk-based test planning, regression testing, release acceptance, and post-release validation. • Led the QA team, including task decomposition, risk prioritization, result reviews, onboarding, mentoring, and participation in technical interviews. • Ensured end-to-end quality across frontend, backend REST APIs, Kafka messaging, and databases. • Tested JSON contracts, negative scenarios, duplicate messages, retries, data

At Arcadia Software Country, I worked as a QA Engineer responsible for manual testing of web applications, including frontend, backend, REST API, integration, regression, UI/UX and cross-browser testing. I created and maintained test documentation, prepared test data, validated requirements, reported and verified defects, analyzed logs and database records, and supported releases. I also worked with tools such as Jira/Azure, Postman, Swagger/OpenAPI, SQL, DevTools, Kibana/Grafana, Kafka, Docker and basic Ku