Beschreibung

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.

Branchenexpertise

Sprachen

Englisch
Muttersprachlich oder zweisprachig
Spanisch
Muttersprachlich oder zweisprachig
Deutsch
Grundkenntnisse

Arbeitsortpräferenzen

Vor Ort möglich

Zurich (bis zu 50 km), Basel (bis zu 50 km), St. Gallen (bis zu 50 km), Bern (bis zu 50 km), Lucerne (bis zu 50 km)

Credit Suisse,
DATA SCIENTIST
März 2021 - Juni 2024 (3 Jahre und 3 Monate)
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 - März 2021 (6 Monate)
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
Dezember 2017 - November 2020 (2 Jahre und 11 Monate)
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