SKatalyst AI
Founder, AI architecture and engineering. An agentic platform for structured context and customer-owned applications, with human approval gates and data-derived validation. Private Beta.
Senior AI, Data & Business Intelligence Engineer. Experience since 2017 across industrial analytics, machine learning and enterprise data platforms. Today, my focus is AI orchestration, context engineering, agent systems and software development with frontier AI coding agents.
Download Resume
Build and experiment with agent workflows, tool contracts and persistent context. Use frontier AI coding agents to implement and iterate on software, with architecture, code review, testing and validation guiding the work.
Founder, AI architecture and engineering. An agentic platform for structured context and customer-owned applications, with human approval gates and data-derived validation. Private Beta.
Designed and ran a 24-hour agent orchestration experiment with validated decisions, claim verification and persistent event logs. Final synthesis at T+24h with three human interventions. Local experiment.
Ten agent roles, 30 role-scoped MCP tools and an orchestrator with persistent sessions. A seven-agent run executed the council chain; a full external-agent match remains unproven. Local experiment.
September 2020 to Present
Large-scale data platforms, analytical decision systems, machine-learning workflows and AI automation in an industrial environment.
September 2019 to August 2020
Dashboards, consumer-feedback analysis and predictive-modeling support.
February 2017 to July 2019
Forecasting, statistical analysis and heterogeneous-source integration.
Ecole Polytechnique Internationale · 2018 to 2020 · Grade: Very Good.
ESPRIT · 2017 to 2018.
Planned
Expected start: Q4 2026
Research direction: Reliable enterprise AI, context engineering, data governance, and agent systems.
ML Con Munich 2026 is completed. ML Con Berlin 2026 is upcoming. The Subconscious Architect is in publication preparation.