Daniel brings a rare combination of deep technical expertise and strategic leadership to bridge_ci, with over 15 years of experience at the intersection of AI, data science, and mission-critical systems. His career spans pioneering roles at organizations including Palantir, the United Nations, and Y Combinator-backed ventures, where he has consistently delivered transformative solutions to complex global challenges.
As a product and deployment strategist, Daniel has architected and scaled AI systems across diverse sectors—from developing privacy-preserving LLM frameworks at Palantir to building humanitarian data platforms that served millions in sub-Saharan Africa. His technical acumen, honed through roles ranging from Formula One aerodynamicist to AI safety researcher at Harvard's Berkman Klein Center, enables him to bridge the gap between cutting-edge technology and real-world implementation. At bridge_ci, Daniel leverages this unique perspective to help clients navigate complex transformations, whether optimizing autonomous systems, implementing responsible AI governance, or scaling data-driven operations.
Daniel holds a Master of Science in Aerodynamics and Computation from the University of Southampton and a Bachelor of Science in Aerospace Engineering from Virginia Tech. His research on adversarial AI and surveillance technologies has informed policy recommendations for protecting privacy rights in the age of emerging AI systems. He is also a certified FAA Remote Pilot and PADI Divemaster, reflecting his commitment to mastering complex technical domains across disciplines.