About me

I'm a Data Scientist and AI Engineer from Zurich, Switzerland, specializing in machine learning, artificial intelligence, and data-driven solutions. I enjoy transforming complex data challenges into actionable insights and building intelligent systems that drive real-world impact.

With a strong foundation in economics, statistics, and computer science, I combine analytical rigor with technical expertise. I've worked on projects ranging from machine learning applications at the Swiss National Bank to co-founding an AI startup. My passion lies in applying cutting-edge machine learning techniques, NLP, and reinforcement learning to solve challenging problems in finance, economics, and beyond.

What I'm doing

  • Machine Learning & AI

    Developing advanced ML models including deep learning, reinforcement learning, NLP, LLMs, and RAG systems.

  • Data Science & Analytics

    Statistical modeling, causal inference, time series analysis, and experimental design for data-driven insights.

  • Software Engineering

    Building scalable data pipelines, APIs, and full-stack applications using Python, React, and cloud platforms.

  • Economic Research

    Applying econometrics, behavioral economics, and game theory to analyze markets and strategic behavior.

Resume

Education

  1. M.A. Economics & Data Science

    2018 — 2021

    University of Zurich, Switzerland
    summa cum laude
    Specialization: Machine Learning and Econometrics

  2. M.Sc. Data Science (Special Student)

    2018 — 2021

    ETH Zurich, Switzerland
    Specialization: Machine Learning and Statistics
    Completed one third of Master studies at ETHZ

  3. B.A. Economics & Finance

    2014 — 2018

    University of Zurich, Switzerland
    magna cum laude
    Specialization: Econometrics, Game Theory and NLP

Experience

  1. AI Engineer (Co-Founder)

    2024 — Present

    Montigo Labs AG, Switzerland
    Co-founded and leading the product Montigo Investor Portal: designed and shipped core features, supported AWS deployments, and set guardrails, evaluation protocols, and compliance requirements.

  2. Data Scientist

    2023 — 2025

    Swiss National Bank, Switzerland
    Developed and deployed machine learning models for futures markets; built scalable data pipelines, experiment tracking, monitoring and retraining with MLflow; co-developed a data quality framework across Asset Management.

  3. Quantitative Analysis Intern

    2022 — 2023

    Swiss National Bank, Switzerland
    Applied machine learning techniques for futures market prediction and strategy development. Contributed to portfolio management system design and model evaluation.

  4. Scientific Assistant

    2021 — 2022

    WSL (Swiss Federal Institute for Forest, Snow and Landscape Research), Switzerland
    Civil servant in the Dynamic Macroecology Group under the supervision of Dr. Heike Lischke.

  5. Research & Teaching Assistant

    2018 — 2022

    IBF UZH (Department of Banking and Finance), Switzerland
    Led the project Digital Visualization, funded by swissuniversities. Head teaching assistant for courses in Finance, Statistics, and Macroeconomics.

My skills

  • Python
    95%
  • Machine Learning & AI
    90%
  • Data Science & Statistics
    90%
  • Cloud (AWS, Azure)
    80%
  • Econometrics
    90%