Daniel Huber

Team Lead in Financial Technology | AI Agent Development
daniel.huber.dah@gmail.com danielhuber.dev LinkedIn GitHub German (native) · English (C1)

Professional Summary

Driving internal AI adoption at Leonteq, from infrastructure (RAG, vLLM, observability) to the agents that run on it. 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.

Professional Experience

Tech Lead - AI Foundry & Client Onboarding - Director
Leonteq Securities AG, Zürich | Mar 2026 - Present

Tech lead for two cross-team projects alongside continued team lead duties for the Sophis core team.

Team Lead Sophis Core Development - Director
Leonteq Securities AG, Zürich | Jan 2023 - Present

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.

Senior Software Developer - Director
Leonteq Securities AG, Zürich | Apr 2021 - Dec 2022

Implemented generic booking model for mirror booking, reducing client onboarding complexity. Built Grafana/Kibana monitoring. Key contributor to LIBOR migration.

Software Developer - Associate
Leonteq Securities AG, Zürich | Jan 2016 - Mar 2021

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).

Software Developer - Analyst
Leonteq Securities AG, Zürich | Oct 2014 - Dec 2015

Distributed end-of-day reporting systems, barrier monitoring, automated instrument creation (~80% manual work reduction).

Education

BSc Computer Science (Informatik-Ingenieur FH)
University of Applied Sciences FHNW | 2011 - 2014
Mathematics Studies
ETH Zürich | 2009 - 2011

Certifications

Deep Learning Specialization (March 2026)
DeepLearning.AI
Machine Learning Specialization (March 2025)
Stanford University & DeepLearning.AI
5-Day AI Agents Intensive Course (2025)
Google & Kaggle
Mathematics for ML and Data Science (June 2025)
DeepLearning.AI
Structured Products Program (August 2022)
IMD Business School

Technical Skills

AI & Agent Development

LangChain & LangGraph Agent Architectures Vector Search & RAG vLLM Ollama Langfuse Google ADK Machine Learning

Programming & Tools

Python C# .NET Core .NET Blazor SQL JavaScript C++ Docker Jenkins Grafana/Kibana

FinTech Domain (10+ yrs)

Sophis Risque Structured Products Derivatives Risk Management Trading Systems Team Leadership Incident Response

Projects

Agent Engineering

AI systems journal where topics and news are auto-collected by an agent, pushed to the repo via GitHub Actions, triggering a fresh deployment.

www.agent-engineering.ch · Python, LangChain, GitHub Actions

Agent Arena

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 Demo · LangGraph, Vector Search, pgvector, React