AI Engineer

Erfahrener Deep-Learning-Architekt und -Forscher mit einem Hintergrund in quantitativer Entwicklung für verschiedene Finanzabteilungen. Erfahren in Computer Vision, neuronalen Netzen und generativen Modellen. Beherrscht eine breite Palette von Frameworks und Techniken, darunter Transformers, GANs und probabilistische Zeitreihenmodelle. Umfassende Kenntnisse in Optimierungsalgorithmen, Deep Reinforcement Learning und Methoden des maschinellen Lernens wie SVM und Clustering. Leidenschaft für das Erforschen neuer Technologien und das Überschreiten der Grenzen von KI und Finanzen.

Translation: I developed quantitative models and tools for various trading desks and risk management platforms, with a focus on equity derivatives, index products, and single stock desks. I also worked on statistical arbitrage strategies and risk management for prime brokerage clients.

I was responsible for creating quantitative models and algorithms for portfolio management and market risk analytics. This role involved developing tools and strategies to assess and optimize portfolio performance.

I specialized in designing deep learning architectures and conducting research, particularly in the field of computer vision models such as ResNet, ConvNetXt, and MobileNet. My work also involved transfer learning, fine-tuning, and implementing object detection algorithms like YOLOv2 and SSD.