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Senior engineering help for AI, performance, and delivery systems.

Hi, I'm Vinicius Dallacqua. I help founders, CTOs, and engineering leaders turn new tools into stronger engineering practice. Through Neuve, I work hands-on across AI workflows, internal agent systems, performance, automation, and the team habits that decide whether the work actually improves.

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Consulting Services

Senior engineering help when the usual playbook is not enough.

I work with founders, CTOs, and engineering leaders on practical pressure points: AI adoption, internal systems, performance, automation, and the team habits that decide whether new tools actually stick.

Workflow

When AI is changing how work ships

AI coding tools increased output, but planning, ownership standards, and delivery habits did not keep up.

I redesign planning, intake, quality standards, team rituals, and agent handoffs so teams can move faster without making delivery informal.

Systems

When an AI prototype needs to become real

The demo works, but tools, context, evals, approvals, and ownership are scattered across prototypes.

I design and build practical AI harnesses: workflow agents, tool integrations, evaluation loops, approval gates, and operator-facing controls.

Performance

When performance is dragging the product down

The team can feel slowness, but cannot see the highest-leverage fix across browser, API, data, or background work.

I profile the system, set budgets, identify focused fixes, and work with the team on front-end, runtime, data, and automation improvements.

Enablement

When the team needs capability, not just advice

A few people know how to work well with AI tools, but the organization has not absorbed the practice.

I run workshops and build playbooks for scoping, verifying, delegating, automating, and documenting AI-assisted engineering work.

How We Work

Start with the constraint, then choose the work.

Neuve does not sell a fixed process. I find the pressure point, work inside the real engineering system, and shape the assignment around the highest-leverage path.

What is actually getting harder?

Slower delivery, brittle AI experiments, unclear ownership, product latency, or a team that cannot turn new tools into a repeatable way of working.

Where does the constraint live?

The answer usually sits across the codebase, product surface, tooling, team rituals, and the decisions people make under deadline pressure.

What should change first?

A focused workflow reset, a production-shaped AI harness, performance work, automation, training, or hands-on implementation with the team.