Curriculum Vitae

Work Experience

Liquid AI

2025 -

Machine Learning Research

San Francisco, USA

I'm currently working on multimodal foundation model data at Liquid AI.

Evidium

2022 - 2025

Machine Learning Research

San Francisco, USA

Having explored Large Language Models (LLMs) as they came out during my time in graduate school, I was keen to be a part of this emerging trend. I joined my former classmate as a founding engineer at Evidium to build evidence-grounded AI systems for healthcare. Our focus is on scalable architectures for reliably detecting, extracting and reasoning on medical entities appearing in terabyte-scale data pulled from electronic health records. We have since built and patented a knowledge platform that is currently in use at a U.S. hospital.

Deutsche Bank

2020 - 2022

Derivatives Structuring

London, UK

After graduation, I began my career at DB's sales and trading graduate program in Frankfurt, Germany. I rotated in correlation and xVA trading before joining the interest rate derivatives structuring team. As a structurer, my work involved development and pricing of exotic interest rate products for DACH area institutional clients. I later moved to DB's London office to focus on the EMEA corporates and governments structuring business.

Quantitative Research

Remote

During the pandemic and last part of my master's, I researched and implemented Temporal Difference (TD) Learning methods for a proprietary trader in collaboration with Dr. Daniel Bloch. This work was conducted under NDA, but our further research on sample-efficient learning of price densities and derivative payoffs using TD-λ methods is available to read on SSRN.

Education