Kolby Wolf
Lead AI Engineer
Kolby Wolf is the Head of Engineering and a full-stack architect who builds scalable AI platforms where reliability matters. He’s led enterprise systems serving 3M+ users and brings a rare blend of production-grade engineering and culture-first leadership - helping teams turn fast AI prototypes into stable products that ship quickly and perform at scale.
Summary:
Kolby Wolf is a Head of Engineering and full-stack architect who operates at the intersection of scale and strategy. With a background deeply rooted in education, he transitioned from a decade in the classroom to architecting AI platforms that serve over 3 million users. He proves that the gap between a viral AI demo and a sustainable business is bridged by rigorous, production-ready engineering.
Kolby has served as a principal tech lead and architect, overseeing every aspect of an enterprise project from ideation to launch. His approach rejects "vibe coding" in favor of the systems that surround the models, focusing on latency, state management, observability, and the reliability required for production environments, while still capturing the acceleration that comes with appropriate use of AI. He believes the best engineering leaders are educators at heart, using his Master of Education (M.Ed.) to build high-performing cultures that prioritize mentorship and psychological safety.
Highlights:
Scale & Architecture:
Served as principal tech lead and architect for an enterprise AI project used by over 3 million students, managing the platform from ideation to product maintenance.
Engineering Culture as Education:
Leverages a background in Educational Leadership to build cultures where "Culture > Code," prioritizing mentorship and team development to create high-performing systems.
Rapid Delivery:
Built a scalable full-stack AI platform (Next.js, TypeScript, Postgres, streaming inference) that enabled the rapid launch of multi-modal authoring and collaboration features.
Strategic Execution:
Led cross-functional teams of developers, designers, and AI specialists to deliver new features on responsive sprint schedules, directly enhancing user engagement and conversion.
Data-Driven Optimization:
Collaborated with data teams to implement secure tracking (Mixpanel, GA4), leading to significant boosts in data-driven feature improvements and user satisfaction.
Approach & Credentials:
Kolby builds engineering ecosystems based on a core philosophy that prioritizes system stability and human augmentation over hype.
Approach
Credentials
Systems > Models: An average model in a great system beats a great model in a poor system
M.Ed., Educational Leadership, University of West Florida
Augmentation > Replacement: AI should support human judgment, not bypass it
B.S., English Secondary Education, Appalachian State University
Rigorous Engineering: Focusing on the "boring" but critical elements of software—latency, state management, and observability
Full-Stack Web Development, Fullstack Academy
Culture First: Building teams where psychological safety drives high performance
Designing and Building AI Products and Services, MIT (Exemplary Assignment Award)
Today:
At intoMO, Kolby partners with builders and leaders who are tired of the noise and ready to ship reliable software. He focuses on helping organizations move beyond viral demos to build sustainable, scalable AI systems that solve real problems.
