Computer Engineering
Bachelor of Science from Texas A&M University.
06 / About
A technology career measured in things made useful.
Marc Mojica is an AI executive, technologist, and builder in Ann Arbor, Michigan. He has spent more than twenty years moving between code, product, companies, and communities.
Connect on LinkedInMarc has always worked close to the point where technology stops being an idea and starts changing how an organization behaves.
That has meant writing software, building products, co-founding a company, leading technology teams, advising founders, and now shaping AI strategy and systems as VP of AI at Trillion.
His current experiments go deliberately deep: a 28-agent software organization with role-specific model routing, local 120B inference, and resilient fallbacks; Clawible, a local-first AI website builder; and local gatherings where Michigan builders can learn in public.
The throughline is not automation for its own sake. It is leverage with judgment, systems with accountable humans, and tools that give people more agency rather than less.
Outside the system
Some of the best perspective arrives in the passenger seat.
Technology is the work. Curiosity, community, Michigan roads, and Loki are part of the life around it.
A few coordinates
The path so far.
Selected anchors, not an exhaustive résumé.
TRUiC
CTO, co-founder, and partner, helping turn an idea into a scaled digital business.
Mojica Consulting
Fractional CTO work and AI engineering for teams with consequential decisions to make.
Trillion
VP of AI, connecting business direction to agentic engineering and product systems.
Lobster Agents + Clawible
Experiments in multi-agent organizations, local models, resilient routing, and AI-native creation.
Ann Arbor Agentic
A practical community for people who would rather learn together than posture alone.
How to work with Marc
Bring the real problem.
Context is not a distraction from the technical work. It is the technical work.
Show the evidence.
Demos, logs, users, economics, and failure modes beat confident abstraction.
Stay human-sized.
Systems should increase agency, comprehension, and room for good judgment.