Senior Architecture & System Engineering

Software architecture for companies that have outgrown basic development.

We help growing software teams make better engineering decisions. We trim moving parts, fix database bottlenecks under load, and build backends that scale cleanly.

10+ Years

Hands-on architecture judgment

50k chats/day

Handled during high traffic

60% drop

Latency via semantic Redis caching

Millions

Background jobs processed

What We Fix

Engineering Problems We Solve

Founders don’t call us for generic developer hours. They call us when technical debt, slow deployments, or database spikes threaten growth.

01 // DATABASE SCALING

“Our PostgreSQL database is melting under peak load.”

Most database failures aren't hardware limits. Long-running queries hold row locks inside web requests until connections freeze. We trace lock times, clean bloat, and set up chronological table partitioning.

02 // COST & LATENCY

“Our AI & LLM billing costs exploded overnight.”

Direct model calls add network latency and thousands in billing overhead. We decouple your pipeline, drop semantic Redis caches in front of common queries, and cut model spend up to 60%.

03 // TRANSACTION LOCKUPS

“Our Rails app freezes under traffic spikes.”

Synchronous HTTP calls and heavy calculations locked inside web requests starve application worker pools. We move work into background queues and transactional outbox patterns.

04 // AI RELIABILITY

“We don’t trust our LLM outputs in production.”

Prompt tweaks shouldn't break upstream features. We build programmatic evaluation contracts in CI/CD to grade reasoning accuracy and stop regressions before deploy.

05 // VELOCITY DECAY

“Our test suite takes 25+ minutes, stalling releases.”

Slow local tests and bloated dependency trees kill developer momentum. We audit test suites, mock external HTTP targets, prune unused gems, and cut CI build times.

06 // CLOUD EFFICIENCY

“Our cloud bill doubled without traffic growth.”

Standard CPU/memory scaling acts too slowly, leaving idle servers running. We build queue-depth autoscalers and trim container boot times from 90 seconds to under 14 seconds.

Pricing Philosophy

Why We Don’t Bill By The Hour

Hourly billing rewards slow work. We charge for impact and senior judgment instead. Sometimes the right architectural fix takes five minutes. Sometimes it takes five days of refactoring.

Pay for engineering judgment and concrete system outcomes—not elapsed time.

View Our Engagement Models
Engineering Stance

How We Make Decisions

Good consultancies sell labor. Great consultancies sell judgment. Here is our stance on building software.

We remove complexity first.

Every line of code, extra gem, or server instance is maintenance debt. The most reliable code is the code you never write. We delete dead paths and simplify data flows.

We default to boring, proven stacks.

PostgreSQL, Rails, Redis, and Next.js handle 99% of workloads cleanly when configured properly—without microservice sprawl.

Dependencies must justify their weight.

Adding a 50MB package to save 15 lines of code is a bad trade. We prune libraries to keep builds fast and secure.

Featured Case Study

Scaling a live Conversational AI pipeline.

A customer support product was burning thousands on direct GPT-4 API calls. High response latency caused customer churn, while database lockups blocked operations.

We decoupled the pipeline, added semantic Redis caching for repeated prompts, and moved transcript processing to Sidekiq.

60% drop
In user response latency
45% cut
In OpenAI billing costs
Read the Case Study

System Architecture Flow

Client App
Next.js / iOS
API Gateway
Rails / Auth
Redis Cache
Semantic Hit
Sidekiq Queue
Decoupler
Worker
Background Job
LLM Engine
Anthropic / OpenAI
Eval Parser
Deterministic check
Leadership

Led by Wilbur Suero

WS

Wilbur Suero

Founder & Principal Engineer

“Over a decade building Rails platforms, scaling PostgreSQL databases, and building AI tools.”

I founded ProxyPattern so founders can work directly with a senior architect—no account managers, no junior developers learning on your budget. Just direct engineering results.

“Software should become easier to change as it grows. We help engineering teams build systems that age well.”

Our Philosophy

Core Engineering Principles

We build software designed to compound in value over time.

01

Complexity is debt with interest.

Every line of code, extra dependency, or server instance is an operational liability. We design to remove moving parts.

02

Determinism before AI.

LLMs are probabilistic. Before adding an AI model, check if SQL, regex, or a state machine solves the problem deterministically.

03

Master stable tools.

We build on mature stacks—Rails, Next.js, PostgreSQL, Redis. We push native capabilities to their limits before adding new tools.

Read All Engineering Principles
Vision

Our Focus Areas

We maintain active research, open-source packages, and consulting services.

PHASE 01Active

Consultancy

Senior architecture audits and database scaling.

PHASE 02Active

Research & Playbooks

Asynchronous guidelines and prompt evaluation suites.

PHASE 03Active

Open Source

Public Ruby gems and developer utilities.

PHASE 04Upcoming

Architecture Scanners

Automated codebase diagnostics and lockup detectors.

PHASE 05Active

Live Products

Factura DGII tax generator, PrestaCRM, and publishing tools.

Live Tools

Live Tools & Open Code

Explore our live web applications, open-source packages, and engineering playbooks.

Live App

Factura DGII

Privacy-first Dominican Republic tax invoice generator (NCF & e-NCF) with instant vector PDF rendering.

Open Factura DGII
Live SaaS

PrestaCRM

Loan portfolio OS with applicant risk scoring, French amortization schedules, and WhatsApp collection automation.

Visit PrestaCRM
Framework

The Playbook

Read our exact engineering playbooks: evaluating AI systems and fixing PostgreSQL row lock contention.

Open the Playbook
Code

Open Source

Audit our public codebases: AISpec, GemGuard, Promptly, and outbox_rails.

View GitHub Code