I’m a senior product-focused engineer who enjoys building user-facing systems with tight feedback loops. I like working close to real users, shipping features that get used immediately, and iterating quickly based on real-world usage rather than abstract requirements. My background is strongly rooted in JavaScript and frontend engineering, with extensive experience building web and hybrid mobile applications. I’ve worked across web apps, mobile apps, smartwatch apps, browser extensions, and other interactive surfaces where real people directly interact with the product. Much of my frontend work has been built with Angular and Ionic, particularly in environments where a single codebase supports multiple platforms. I’ve worked extensively with the Ionic framework in production and contributed a focused improvement back to the open-source project, making it the only open-source project I’ve contributed to directly. Over time, my role naturally expanded into full stack ownership. I’ve designed and built backend services, APIs, real-time systems, and data pipelines that support large-scale, user-facing products. I’m comfortable working across frontend architecture, backend logic, integrations, cloud infrastructure, and ongoing maintenance, especially in product teams where engineers are expected to own problems end to end. In recent years, my work has focused on AI-native and automation- heavy products. As part of a Y Combinator-backed company that evolved through a major pivot into a successful platform, I worked on systems supporting hundreds of GPT builders and hundreds of thousands of end users. The product has processed over five million user interactions and facilitated meaningful revenue flows to GPT builders. My involvement throughout was deeply hands-on, spanning product engineering, system design, and the practical application of AI to real workflows.
I’m particularly interested in applied AI and automation where models, agents, and data systems are used to enhance real products, developer tools, or operational workflows. My focus is on pragmatic implementation, understanding tradeoffs, and shipping systems that work reliably in production rather than theoretical experimentation.
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