MBV Labs
Fractional tech lead for founders who need software shipped.
I help lean teams shape ambiguous product goals, make practical architecture decisions, and build production web apps, internal tools, automations, and developer infrastructure.
Trusted technical work
Selected work
Production systems shaped by senior engineering judgment.
Selected client work, production systems, and technical leadership examples from MBV Labs engagements.
2022
Fox Corporation
Media contextualization platform for Fox Atlas
Worked as Senior Software Engineer on Fox Atlas, building a media contextualization platform that continuously ingested Fox content, analyzed it with ML, and made the results available for ad-segmentation workflows.
Read case study2023
Candy
Marketplace search for Candy.io
Worked as Senior Software Engineer for Candy.io, extending OpenSearch-backed marketplace search through a GraphQL API consumed by a Next.js frontend.
Read case study2025
ChatSheet AI
Principal engineering for ChatSheet AI
Worked as Principal Engineer on ChatSheet AI, building backend systems for multiple MVPs and enabling vector-based context search across several CMS platforms.
Read case study“We need someone senior who can take this from unclear product goal to shipped, maintainable software.”
founder problem MBV Labs is built for
Development philosophy
Agent-first development for getting to the right answer faster.
AI is most valuable when it helps a senior engineer explore the problem space faster: more options, faster experiments, clearer tradeoffs, and quicker convergence on software that fits the business.
01
Use agents to explore better options
The advantage is not producing more code faster. It is exploring more approaches, testing more assumptions, and comparing tradeoffs before committing to a path.
02
Stay hypothesis-driven
Good software still starts with a clear hypothesis. Agents accelerate the loop, but the work remains grounded in product context, technical judgment, and evidence.
03
Iterate quickly without losing control
AI can generate options, prototypes, tests, migrations, refactors, and implementation plans. The discipline is framing the problem, inspecting the output, and turning useful experiments into maintainable software.
04
Build systems teams can own
The goal is not a pile of AI-generated code. The goal is finished software your team can understand, operate, and extend after the engagement ends.
Services
Technical leadership and implementation for focused teams.
The useful work is rarely just writing code. It is choosing what to build, reducing delivery risk, and leaving the system easier to operate after launch.
type BuildPlan struct {
ProductGoal string
Architecture []Decision
DeliveryRisk []Tradeoff
ShippedSoftware bool
}
Senior engineering work for product teams that need momentum without adding a full-time technical leader.
01
Shape the technical plan
Turn ambiguous business and product goals into a practical implementation path, with tradeoffs visible before work starts.
02
Build production software
Ship web apps, internal tools, automations, integrations, and backend systems using maintainable full-stack engineering.
03
Improve existing systems
Audit, modernize, refactor, or extend codebases so your team can move faster without compounding technical debt.
