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SWE · AI-native engineering leader · I make orgs faster
I’ve been building software professionally for nearly 20 years, with 12+ years leading engineering teams and organizations. I operate at both the organizational and technical levels, setting direction and shaping architecture one day, then stepping in as a strong individual contributor the next. I’ve led organizations of 30+ people across product engineering, platform, DevOps, and infrastructure, working closely with product, design, and executive teams to turn business goals into technical strategy and execution. I use AI as a force multiplier across nearly every part of my work. It helps me think through problems, pressure-test ideas, and move faster across coding, architecture, planning, and team enablement. I’m most interested in applying it in practical ways that increase the leverage of the whole team, not just my own output.
Western Carolina University
Bachelor of Science (BS), Computer Science, Applied Mathematics
January 1, 2007 – January 1, 2010
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Western Carolina University
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Cultural Fit Analysis
The candidate has a diverse background across various companies and industries (e-commerce, healthcare, office space management, compliance, bioinformatics). Their experience in leading multiple teams, driving strategic initiatives, and fostering engineering best practices aligns well with a culture that values leadership, innovation, and continuous improvement. The shift from individual contributor to senior leadership roles, while maintaining hands-on involvement, suggests adaptability and a broad skill set. The target role of 'Test Automation Engineer' is a significant shift from their recent leadership roles, which might require a re-evaluation of cultural fit for a more focused, hands-on IC role in test automation.
Soft Skills & Operational Fit
The candidate's resume highlights strong leadership, strategic thinking, and a proactive approach to problem-solving (e.g., stepping outside org to unblock teams, leading performance task forces). Experience in rolling out 'Empowered Product Teams' and championing 'AI-native workflows' suggests a modern, outcome-driven, and innovative mindset. The candidate has a history of mentoring and fostering best practices (TDD/BDD, code reviews), indicating a collaborative and growth-oriented operational fit.