Software engineering consulting for products that already have constraints

Who this is for

• Founders and CTOs who need a senior engineer they can put in front of a messy product decision.
• Heads of engineering who need extra architecture and delivery capacity without a long hiring cycle.
• Product companies whose internal team is strong at shipping, but thin on system design, AI, or modernization.
• Digital agencies that need a senior engineering partner on a complex client system.
• Teams that already tried a large vendor and now need someone who will own the technical call.

Problems I am brought in to solve

• The product is important, but the implementation path is still a set of competing guesses.
• Delivery is slow for reasons that are not 'we need more developers'.
• AI was added as a demo and now has to live inside a real workflow.
• A live platform cannot be rewritten, but it also cannot stay as it is.
• Leadership needs an independent view before committing budget to a rewrite, a vendor, or a model.

What the engagement covers

• Discovery that maps the system, the workflow, and the data — not a generic capability workshop.
• Architecture and implementation for product surfaces, APIs, and automation backends.
• AI integration only where the task is ambiguous enough to earn its cost.
• Staged modernization of live content and commerce platforms.
• Technical advisory for a team that needs leverage, not another full-time hire.
• Direct communication with founders, executives, and engineering leadership.

How I work

I start with the constraint — the bottleneck, the budget, the system that cannot be switched off — and choose the least complex solution that survives production. Most of the leverage sits before implementation: what gets built, what gets integrated, and what should not exist. A typical engagement begins with a bounded diagnosis, then a vertical slice that proves the risky assumptions, then production work with typed boundaries, observability, and a recovery path.

Consultant, agency, or another hire

The useful question is not brand. It is which failure mode you are buying insurance against.

Common failure modes I watch for

• Staffing a discovery-shaped problem with an implementation team.
• Treating 'senior' as a synonym for 'available developer in the stack'.
• Buying an AI feature because competitors announced one.
• A rewrite justified by taste rather than by a constraint you can measure.

Typical deliverables

• A written diagnosis of the constraint, the options, and the recommendation.
• Architecture and interface contracts the team can implement against.
• Working software in production, not a prototype that dies in a staging URL.
• Observability, failure modes, and a human fallback where the path is probabilistic.
• A handover the internal team can operate without me in the loop.

Trabajo seleccionado

• Genie Platforms — Copilotos de ventas con IA que alinean el outbound, el nurturing y RevOps sin abandonar la instrumentación existente.
• TIVA — Búsqueda por voz y texto en segundo plano, donde el equipo ya trabaja — no otra pantalla de búsqueda aislada.
• Kwizie — Cuestionarios generativos a partir de cualquier corpus de vídeo: desde MOOC de duración de una clase hasta capturas rápidas con el móvil.

Servicios relacionados

• Software architecture — System design for live products: what should exist, where the boundaries sit, and how the system fails.
• AI integration — Put a model inside an existing workflow, with contracts and a way out — not beside the product as a chatbot.
• Custom software development — Product engineering for teams that need a senior builder, not a multi-layer outsourcing chain.
• Technical audit — An independent reading of the system you have — aimed at a decision, not a severity-coloured spreadsheet.

Notas relacionadas

• A practical software architecture review framework
• When to add an LLM to an existing product — and when you should not

Preguntas que me hacen