Chief Investment Officer and Head of Trading of an algorithmic trading firm in digital asset markets.

We are performing pioneering research and development in algorithmic trading across the entire stack: from high-frequency data infrastructure to autonomous trading agents based on reinforcement learning.Flagship projects include:* Teaching AI to trade. Based on state-of-the-art methods, we developed a framework that overcomes core challenges in previous reinforcement learning approaches and successfully allows to train deep learning agents to autonomously identify and learn profitable market making strategies.* Streaming DeFi price data. We developed a highly performant, low-latency system to track on-chain state of DeFi protocols, to stream on-chain price data and simulate transactions.Other current and past projects include:* Alpha research for CLOB and OTC exchanges* Quantitative research for DeFi market making* Custom EVM node implementation for optimised data access* Development of a large scale offline data processing framework

Co-founded a crypto asset management startup.* Built entire tech stack, including data platform and trade execution framework* Performed quantitative research of DeFi protocols and developed asset allocation strategies* Built and lead a small team of engineers

Researcher in mathematics and physics during PhD.* Research in scattering amplitudes, a subfield of theoretical high energy physics* Applied emerging fields of mathematics for the first time to physics* Published two papers in leading peer-reviewed journal

Technological and strategic advisory for NFT startup.* Developed tech strategy for blockchain infrastructure* Helped raise pre-seed round from VCs

Internship in Financial Services Technology Consulting.* Software development project for a large financial services client* Built and pitched a statistical model that optimised the software testing process