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About

Building Caffeine AI | AI/ML Engineer | ex-CERN

AI/ML Engineer building LLM systems from research to production. Early founding engineer building Caffeine AI, with experience across DFINITY and CERN on agentic workflows, retrieval systems, and scalable AI products.

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Skills

C++

Java

Javascript

Machine Learning

Python

TypeScript

Work Experience

SGS Digital Trust Services GmbH

2021-08 - 2021-09

Workplace
Security Engineer
Location

Remote

Employement type

internship

- Executed in-depth penetration testing for a major corporate client's web application, identifying critical security vulnerabilities -Employed advanced penetration tools and methodologies to fortify the security architecture, markedly strengthening the client's defense against cyber threats.

Zühlke Technology Group AG

2022-07 - 2022-09

Workplace
Software Engineer
Location

Zürich

Employement type

internship

- Led the deployment of a cutting-edge blockchain initiative for Sygnum Bank. - Worked on the integration of wallet connectivity to decentralized applications (dApps) for enhanced transaction security, utilizing Securosys APIs and WalletConnect to ensure seamless user experiences and system integrity.

Dynatrace

2023-07 - 2023-08

Workplace
Software Engineer Intern
Location

Remote

Employement type

fulltime

-Engineered a Java-based optimization resulting in a 50% reduction in API calls, significantly enhancing system efficiency and reliability. -Designed and implemented a Python-based analytics tool for visualizing enterprise zone utilization, which enabled stakeholders to identify underused resources, driving a strategy that cut operational costs.

CERN

2023-09 - 2024-02

Workplace
Master Thesis Student
Location

Geneva

Employement type

fulltime

Conducted research in Explainable AI & Natural Language Processing, developing an AI summarization system using Llama2, integrated with an explanation mechanism based on the SBERT model, to produce transparent and efficient summaries of extensive scientific documents, thereby enhancing decision-making efficiency for professionals.

SAP Austria GmbH

2019-07 - 2019-08

Workplace
Software Engineer
Location

Remote

Employement type

internship

- Architected a Visual Basic sales forecasting tool that delivered enduring value, evidenced by its multi-year utilization and annual updates at the client’s request, underscoring a sustained improvement in their forecasting capabilities -Crafted advanced Javascript chatbots, enhancing customer engagement, and proactively led customer workshops to tailor solutions to client needs, demonstrating a commitment to customer service excellence

DFINITY

2024-10 -

Workplace
Machine Learning Engineer
Location

Zürich

Employement type

fulltime

• First engineer on an internal DFINITY project that later spun out as Caffeine AI. • Fine-tuning large language models (LLMs) to improve code generation performance for low-resource programming languages. • Implementing scalable context engineering pipelines (incl. RAG) to improve retrieval quality and reasoning. • Building benchmarking frameworks for production Al systems.

Caffeine AI

2025-03 -

Workplace
AI/ML Engineer
Location

Zürich

Employement type

fulltime

• First employee to build Caffeine AI, a no-code, chat-based application development platform. • Owned LLM optimization for code generation through fine-tuning, evaluation, and production deployment. • Developing agentic and retrieval systems for conversational full-stack workflows. • Implementing multimodal systems for vision, image generation, editing, and speech capabilities.

Academic Experience

TU Graz -

 

2018.10 - 2021.07

Bachelor of Science, BSc in Computer Science and Business

TU Graz -

 

2021.09 - 2024.05

Master of Science, MSc in Computer Science