I'm a Software Engineer at Datadog, on the Event Signal Processing team, where I architect scalable event-driven systems that turn massive, high-frequency machine data into something genuinely useful, for people and AI agents alike. I'm guided by two convictions: that the best technology makes complex things feel simple, and that its real purpose is to help people and societies live, learn and create.
My focus is architecting scalable event-driven and AI systems for enterprise, making data and products genuinely useful to both the people and the AI agents that increasingly rely on them. Recently that's meant leveraging large language models to cut infrastructure alert noise by over 98%, and building systems that enrich raw change events with the context humans and agents actually need to act.
My path has taken me from building ML platforms at Paperspace (acquired by DigitalOcean) to reimagining developer experience at Peloton, where my work on the Developer Insights Platform was featured in The Pragmatic Engineer newsletter.
Outside of Datadog, I co-founded Brekkie Bakery, a protein banana bread company in New York City that I build on nights and weekends. Hauling bags of flour and hand-weighing batter loaf by loaf gave me a new obsession: bringing AI and intelligent automation into the physical systems and machinery that software hasn't fully reached yet.
When I'm not shipping code or loaves, you'll find me following economic trends, playing basketball, and thinking about how the next wave of technology can broaden access and opportunity for everyone.