I'm a deeply experienced software engineer with over a decade of work spanning application architecture, system design, and engineering leadership. Throughout my career, I've consistently sought to make complex systems simple, scalable, and sustainable. My approach blends technical depth with product sensibility, always asking how we can build not just for today, but for the challenges of tomorrow.
Currently a Staff Engineer at Mapbox, I operate at the intersection of product vision and engineering execution. I'm known for initiating long-term platform strategies, driving architectural transformations, and fostering alignment across teams and disciplines. My work spans SDK development, cross-platform tooling, and internal productivity initiatives—always with an eye toward creating leverage for the entire organization.
"The most effective engineers don't just solve problems—they change the nature of the problems we solve."
— A principle I build by
Beyond engineering leadership, I'm also drawn to the frontier of machine learning. With a curious and hands-on approach, I explore how new paradigms like LLM and AI agents can transform workflows and product capabilities. I thrive at the edge of exploration and application—where emerging ideas meet robust implementation.
As a mentor and collaborator, I emphasize clarity, autonomy, and team empowerment. I believe in shaping cultures that scale naturally—where structure is added only when its absence becomes limiting. The best engineering organizations grow through shared understanding, not through process alone.
Whether through code, strategy, or conversation, I'm always building toward something better: better tools, better systems, and better ways of working. The most rewarding challenges lie at the intersection of technical possibility and human need—that's where I aim to make my impact.
Designing systems that scale elegantly while maintaining developer velocity and product flexibility.
Creating tools and workflows that empower engineers to do their best work with minimal friction.
Investigating how machine learning can enhance developer productivity and product capabilities.