Architecting and operating the internal AI platform at Leonteq that enables teams to build secure, observable, production-grade AI agents — from RAG and vLLM serving to observability. Team & Tech Lead with 10+ years in financial technology, currently leading three parallel initiatives: the Sophis core platform team, client onboarding, and the AI Foundry.
Focus areas: Enterprise AI Platforms · Agent Engineering · RAG Systems · LLM Serving · AI Observability · AI Security · Production AI Systems
Tech lead for two cross-team projects alongside continued team lead duties for the Sophis core team.
Leading 4 developers across Zürich and Lisbon. Owning incident resolution and operational risk analysis across time zones (Singapore to Europe). Bridging engineering and business stakeholders.
Implemented generic booking model for mirror booking, reducing client onboarding complexity. Built Grafana/Kibana monitoring. Key contributor to LIBOR migration.
Sophis v6.3 to Fusion 7 migration, automation tools for Trading & Treasury (C#, WPF, SQL), analytics platform for instrument pricing coverage, regulatory projects (MiFID II, SFTR, 871m).
Distributed end-of-day reporting systems, barrier monitoring, automated instrument creation (~80% manual work reduction).
AI systems journal where topics and news are auto-collected by an agent, pushed to the repo via GitHub Actions, triggering a fresh deployment.
Self-improving AI trading system inspired by Karpathy's autoresearch. 8 agents compete on Kraken Futures perpetuals while the system improves them overnight by mutating configs, testing variants on past data, and keeping winners. Agents reflect on mistakes and build rules; when problems persist, the system writes its own code fixes.
Live near-Earth asteroid explorer built around two AI systems: a tool-calling chat agent that drives a 3D solar-system scene (selecting asteroids, changing views, running impact simulations), and an autonomous monitoring agent on a 4-hour cron using an advisor pattern — a low-cost Haiku executor that escalates higher-stakes calls to an Opus advisor — with persistent memory and email alerts. Data from NASA's NEO API.