I am a software engineer specializing in large-scale data platforms and distributed systems. I am deeply passionate about building products from 0 to 1, taking ambitious ideas from their earliest stages and turning them into scalable realities.
Currently, I am an early engineer at Von Labs, building the foundational agentic platform that powers AI workflows for GTM and RevOps teams. I design the core backend systems that allow our AI to process vast amounts of unstructured data, build business context, and autonomously execute operational tasks.
Previously, I built backend infrastructure for massive-scale systems at Apple, Salesforce, and Cerner (now Oracle Health), and worked briefly at Tecton prior to its acquisition by Databricks. This unique blend of early-stage building and massive-scale engineering allows me to lay high-performance foundations that are built to last.
Lately, my focus has been at the intersection of modern data infrastructure and AI orchestration. My recent work involves building stateful, durable and highly reliable agent workflows. Whether I am writing Java, Python, or experimenting with Rust, I enjoy tackling difficult bottlenecks and designing architectures that are elegant and resilient.