Description

Most AI projects stall between proof-of-concept and daily use. I help SMB teams cross that gap by designing, building, and deploying production AI systems, plus running corporate AI workshops that turn teams from AI-curious to AI-fluent. Ph.D. in Physics, 10+ years in data science, and four years inside Credit Suisse working on regulated, large-scale analytics.

Although my latest industry experience is in financial services, the methodology travels, any team handling complex data, regulated processes, or knowledge-intensive work benefits from the same approach.

I focus on building next-generation AI solutions, including:

• LLM-powered internal assistants

• Agentic AI workflows (LangGraph, OpenAI APIs)

• Intelligent research and knowledge systems

• Time-series ML models for trading and forecasting

• Risk analytics and financial data pipelines

• End-to-end AI prototypes (from idea to deployment)

I work at the intersection of:

•Machine Learning

•Generative & Agentic AI

•Financial analytics

•Scalable data engineering

What differentiates me:

✔ Experience in a global Tier-1 bank

✔ Strong understanding of regulation and risk

✔ Ability to translate complex AI into business value

✔ Scientific rigor combined with pragmatic delivery

✔ Former CTO & startup co-founder

I can support you with:

•AI strategy and prototyping

•Custom LLM integrations

•Data pipeline architecture

•Risk & compliance analytics

•Executive AI advisory

•Technical mentoring and workshops

Based in Switzerland (C Permit) – available for remote and on-site collaboration.

If you’re looking for a senior expert who can both design and implement intelligent systems — let’s talk.

Industry field of expertise

Languages

English
Native or bilingual
Spanish
Native or bilingual
German
Basic

Workplace preferences

Can work on-site

Zurich (up to 50km), Basel (up to 50km), St. Gallen (up to 50km), Bern (up to 50km), Lucerne (up to 50km)

Credit Suisse,
DATA SCIENTIST
March 2021 - June 2024 (3 years and 3 months)
Zürich, Switzerland
As a global bank, Credit Suisse generates and gathers vast amounts of data on a daily basis, which must be processed and analyzed in real time to extract actionable insights promptly.
• • Trade and Market Surveillance Analytics
◦ - Data processing and trade rule implementation
• • Cyber and Internal Security Analytics
◦ - Data processing and security program qualification implementation
• • Regulation Compliance Analytics
◦ - Data processing and analytics implementation
• • Holistic Risk Management Framework Implementation
◦ - Data processing and Holistic Risk Metric implementation, including proof of concept ✦ All projects done on Palantir Foundry using: Python, PyCharm, PySpark, Git, Pandas, SQL, SKLearn, Tableau
PySpark OpenAI Agentic AI AI Engineering Data analysis
Spring Professional,
BUSINESS ANALYST
September 2020 - March 2021 (6 months)
Zürich, Switzerland
Spring Professional is an HR agency assisting independent professionals acquire, manage and maintain short and medium term employment contracts. External contractor for Credit Suisse.
• • Data Analytics and Visualization
◦ - Foundry, Python, PyCharm, PySpark, Git
• • Visualization Platform Management
◦ - Python, Tableau Server and Tableau Desktop
NJ Applications and Analytics GmbH,
Co-FOUNDER and CTO
December 2017 - November 2020 (2 years and 11 months)
Zürich, Switzerland
Short lived technology company. Developed an application that facilitated the professional networking process using machine learning.
• • AWS infrastructure design, implementation and maintenance
◦ - Terraform
• • Machine Learning algorithms and Business Intelligence analytics
◦ - Python, SkLearm, Numpy
• • Application backend implementation
◦ - Neo4j, MySQL