Team Lead at Leonteq with 10+ years in FinTech. Now applying AI agent development to enterprise systems - building internal PoCs with LangChain and contributing to LLM/RAG initiatives.
I lead the Sophis Core Development team (4 engineers) and coordinate day-to-day changes, releases and incident response with colleagues in Zürich, Singapore and other offices. My work sits close to trading and risk operations, with a focus on reliability, performance and clear communication.
Over the past decade I've worked across pricing/analytics, reporting and automation, and helped migrate Sophis from 6.3 to Fusion 7. I enjoy simplifying workflows and working with teams operating 24/7 systems.
I've completed Stanford's ML Specialization, Mathematics for ML, and Google's 5-day agent course. Now applying these skills professionally - developing internal AI agent proof-of-concepts with LangChain and contributing to AI Foundry's LLM/RAG initiatives.
Leading a team of 4 developers while serving as the primary interface between technical team and business stakeholders. Managing incident investigations, estimating requirements for business analysts, and coordinating with operational risk teams. Acting as a shield for the development team by handling stakeholder requests and operational disruptions.
Enhanced system monitoring using Grafana and Kibana for real-time analytics. Developed intraday PNL/PLA reporting systems for trading desk. Led critical projects including LIBOR migration.
Progressed through multiple roles focusing on automation, risk management, and regulatory compliance.
Focused on reporting automation and distributed system implementation. Automated creation of listed instruments via SmartCo integration.
Bachelor's degree in Computer Science with focus on practical software engineering, algorithms, and system design. Completed several industry-relevant projects including algorithmic trading, GPU programming, and financial portfolio management systems.
Mathematics studies at Switzerland's leading technical university. Built strong foundation in linear algebra, calculus, probability theory, and mathematical analysis. Transitioned to applied computer science to focus on practical implementation of mathematical concepts.
Agent architectures, tool integration, Google ADK. Built backtest-agent for Kaggle competition.
View Badge →Supervised/unsupervised learning, neural networks, deep learning fundamentals.
View Certificate →Linear algebra, calculus, probability, statistics.
View Certificate →Investment strategies, risk management, complex financial instruments.
View Certificate →Personal projects applying ML/AI and agent development to financial technology
Trading strategy backtesting agent developed for Google's 5-day intensive agent course Kaggle competition. Built using agent frameworks to automate trading strategy analysis and optimization. Practical application of LangGraph and agent development concepts learned in recent training.
Ethereum transaction analysis tool for visualizing ETH transfer networks. Includes multiple visualization modes and analytics features such as pattern analysis, gas insights, and basic anomaly detection. Built with React.js, D3.js, and Alchemy SDK as a learning project.
Built while learning about ML and 3D visualization. Uses NASA API, TensorFlow.js for basic predictions, and Three.js for interactive visualizations. A fun project to explore ML concepts outside finance.
Personal project combining FinTech domain knowledge with ML learning. Built with Blazor, features technical analysis, Monte Carlo simulations and backtesting. Exploring how to apply agent-based approaches to strategy optimization.
Study project combining textual data mining with technical analysis and portfolio theory for automated trading strategies.
GPU-accelerated image processing using wavelet transformation and parallel algorithms for progressive graphics file format optimization.
Portfolio management and trend analysis system developed for Dufour Capital AG, combining financial mathematics with web technologies.
Feel free to reach out for professional discussions about technology, machine learning, or financial systems.
CV available on request.