Principal AI Architect, AWS
I help organizations adopt generative AI and agentic systems responsibly, advising on platform strategy, governance, and operationalization at scale. Before this, I spent over a decade as a quantum physicist.
From the lab to the cloud
- 2020 2024 AWS. Joined as a Senior, then Principal, AI/ML Specialist Solutions Architect, helping customers across Asia Pacific scale their machine learning and generative AI platforms. Promoted to Principal AI Architect in 2024, now driving the worldwide technical go-to-market for Amazon Bedrock and AgentCore.
- 2019 IHiS (now Synapxe), Singapore. Assistant Director and Senior Data Scientist, leading a data science team building machine learning and NLP tools for public healthcare.
- 2013 Centre for Quantum Technologies, NUS, Singapore. Senior Research Fellow studying light-atom interaction and the limits of quantum correlations, including time-resolved scattering of a single photon by a single atom.
- 2010 Radiantis, Barcelona. Laser Scientist, taking a new line of ultrafast optical oscillators from prototype to production.
- 2007 ICFO, Barcelona. Post-Doctoral Researcher working on non-classical light and quantum metrology, including shaping the waveform of entangled photons and squeezed-light optical magnetometry.
- 2003 Sapienza University of Rome and University of Camerino. Master's and PhD in Physics, studying quantum light and quantum communication protocols, including two papers in Physical Review Letters.
Talks
Writing
AWS blogs
Open source
Research background
Before moving into data science and AI, I spent over a decade in quantum optics and quantum information research, with stints at Sapienza University of Rome, the University of Camerino, ICFO, and the Centre for Quantum Technologies. My work spanned quantum communication protocols, the generation and shaping of non-classical light, quantum-enhanced metrology such as squeezed-light magnetometry, and how single photons interact with single atoms, including experiments on quantum correlations and randomness extraction from Bell tests. That produced 20+ peer-reviewed papers, and it's still being cited today.