Field office / Senior product engineering
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.
Issue 01
MBV Labs / 2026
Focus
Plan / Build / Improve
Working model
Senior judgment / Hands-on delivery
Trusted technical work
Selected client ledger.
CLIENTS / 001-005
01.
YLD
02.
everphone
03.
Kuatro Group
04.
Chatsheet
05.
Candy
Selected work, in three entries.
Production systems / Current index
01.
ChatSheet AI
2025
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.
02.
Candy
2023
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.
03.
Fox Corporation
2022
Media contextualization platform for Fox Atlas
Built Fox Atlas, a media contextualization platform that ingested Fox content, applied ML analysis, and supported ad segmentation workflows.
The founder problem / 01
“We need someone senior who can take this from unclear product goal to shipped, maintainable software.”
The reason MBV Labs exists
AMBIGUITY → DELIVERY → OWNERSHIP
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.
Technical leadership, measured by shipped outcomes.
Services / Field report
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.
Featured project ledger.
Independent builds / Selected
Frequently asked questions.
Before an engagement / Common questions
What does a fractional tech lead do?
I help turn an unclear product or engineering goal into a practical plan, then stay hands-on to build and ship it. You get senior technical judgment without hiring a full-time lead.
What kinds of projects are a good fit?
Focused, high-leverage work where architecture and execution both matter: production web apps, internal tools, automations, integrations, developer infrastructure, MVPs, and codebase improvements.
Do you only advise, or do you write code?
Both. I can shape scope and architecture, then implement the software myself or work alongside your team.
Can you work with an existing team or codebase?
Yes. I can join an existing delivery effort, extend or modernize a codebase, and leave the team with software it can understand and operate.
Can one person handle a serious project?
The best fit is focused work where senior judgment matters more than headcount. Larger scopes can be phased, delivered with your team, or scoped into the right delivery model.
How does an engagement start?
Start with a project inquiry. We will clarify the goal, constraints, current system, and the smallest useful first phase before committing to implementation.