I'm a computer scientist with experience in distributed graph analytics, authentication and authorization platforms, and and AI systems (both symbolic, deep learning, and LLMs).
My journey spans academic research at ETH Zurich and Imperial College London, co-founding and scaling a graph analytics startup (acquired by PwC), and leading enterprise-scale data and AI initiatives within PwC. Currently, I am the CTO at Futurae focusing on authentication and digital identity products.
In my leadership roles, I focus on building and mentoring high-performing engineering teams through continous delivery, fast deployments, and strong recovery procedures. We deliver secure, reliable, and scalable systems that bridge the gap between cutting-edge research and practical engineering solutions.
I am also collaborating very closely with the product and sales team on shaping our strong anti-phishing offering and risk-based authentications based on passkeys and ML models.
As a Tech-and-Innovation Director, I integrated the Signal Graph technology from my startup (see below) into various PwC projects, including Smart Venues for IoT-driven venue management, and an organizational network analysis platform based on graph ML and LLMs.
I also worked on building tools to measure and improve ROI on LLMs and agents in PE companies.
As technical co-founder and CTO of SignalFrame (founded in 2015, acquired by PwC in 2021), I led a team of 20 engineers in building a streaming temporal graph platform that processed data from ~1 billion IoT devices monthly. Our daily stream consisted of ~100 million vertices with ~1 billion edges. On top of this knowledge graph we implemented advanced graph embeddings for temporal and spatial analytics. Our products focused on behavioral anomaly detection and structural forecasting.