I’m a Senior Full-Stack & Quantitative Engineer focused on building trading, compliance, risk, and AI systems for high-performance financial environments. Over the past two decades, I’ve designed and delivered scalable software across hedge funds, fintech, and industrial automation, with a particular focus on backend engineering in Python and C#, quantitative workflows, cloud-native platforms, and low-latency systems. At Balyasny Asset Management, I work in Trading Execution & Compliance Technology, building mission-critical platforms that support trade capture, reporting, surveillance, and regulatory workflows across multiple asset classes. My work sits at the intersection of engineering discipline, quantitative thinking, and operational correctness. I’m particularly interested in systems that need to be fast, reliable, observable, and useful in the real world: from trading and compliance infrastructure to AI-assisted tooling and quantitative libraries.
University of Catalonia
Publication: Ocular disease intelligent recognition through Deep Learning Architectures.
University of Catalonia
Publication: Distributed Decision Making system.
University of Girona
Publication: Monitoring on a remote laboratory based on datasocket
Balyasny Asset Management
LONDON, UK
VR Capital Group
LONDON, UK
VR Capital Group
LONDON, UK
Broadridge Financial Solutions
LONDON, UK
AETech
GIRONA, SPAIN
AETech
GIRONA, SPAIN
Embarcadero/IDERA