AI Architecture · Software Modernization · Technical Strategy

Modernize your software. Build AI systems ready for production.

I help startups and growing companies modernize legacy systems, design reliable AI architectures and turn technical complexity into a practical roadmap.

Book a Free Intro Call Explore Selected Work

30-minute introductory call · No commitment · Technical fit assessment

AI Systems Architecture Legacy Modernization Agentic AI MCP RAG Rust Enterprise Software Distributed Systems AI Governance Developer Platforms

01 /The Real Challenge

AI adoption is easy to start. Building it correctly is harder.

Many teams can build a proof of concept. The real difficulty begins when that prototype must become secure, observable, scalable, maintainable and aligned with existing systems.

A

Fragmented Architecture

Multiple disconnected tools, duplicated pipelines and inconsistent technical decisions.

B

Rising Cost

Uncontrolled model usage, inefficient infrastructure and limited cost visibility.

C

Weak Governance

Little traceability over data, generated outputs, agent actions and knowledge sources.

D

Legacy Complexity

Systems that are difficult to evolve, integrate or modernize without operational risk.

02 /Services

Technical services built around real engineering decisions.

S·01 Featured

AI Architecture

Architecture design for products using LLMs, agents, RAG, MCP, local models or external AI providers.

Scope of work

  • 01Architecture assessment
  • 02Provider and model strategy
  • 03Data and knowledge architecture
  • 04Security and governance planning
  • 05Observability strategy
  • 06Scalability and cost planning
Discuss AI Architecture
S·02

Legacy System Modernization

Incremental modernization of systems that are difficult to maintain, integrate or scale, without defaulting to a risky full rewrite.

  • +Current-state assessment
  • +Dependency mapping
  • +Modernization strategy
  • +Modularization planning
  • +API enablement
  • +Cloud-readiness roadmap
Discuss Modernization
S·03

Technical Discovery & Roadmap

A structured entry service for companies that need clarity before committing to a major technical investment.

  • +Discovery workshop
  • +Architecture review
  • +Risk and opportunity mapping
  • +Target architecture
  • +Prioritized roadmap
  • +Recommended next steps
Start with Discovery

03 /Approach

From technical uncertainty to an actionable architecture.

Every phase ends in explicit decisions, documented trade-offs and a concrete next step.

  1. Phase 01

    Discover

    Understand the product, system, team, constraints and business objectives.

  2. Phase 02

    Assess

    Map architecture, dependencies, risks, costs and modernization opportunities.

  3. Phase 03

    Design

    Define the target architecture, technical decisions and implementation path.

  4. Phase 04

    Guide

    Support validation, implementation and long-term architectural evolution.

04 /Selected Work

Systems, infrastructure and open-source engineering.

Case studies are being documented. Structure, stack and links will appear as each project is published.

Principles

Architecture before hype.

Eight constraints I apply to every engagement — they keep systems honest long after the demo ends.

  1. 01

    Solve the problem before choosing the model.

  2. 02

    Prefer incremental modernization over risky rewrites.

  3. 03

    Treat governance as an architectural concern.

  4. 04

    Keep production systems observable.

  5. 05

    Use AI only where it creates meaningful value.

  6. 06

    Design for maintainability, not only for demonstrations.

  7. 07

    Make technical trade-offs explicit.

  8. 08

    Avoid unnecessary infrastructure complexity.

06 /Insights

Writing about AI systems and software architecture.

Published essays and selected writing currently in preparation.

Portrait of Matheus Walkowicz
Matheus Walkowicz · Brasília, Brazil

Direct contact

07 /About

Engineering complex systems with clarity.

I am a Software Engineer focused on AI Architecture, legacy modernization and enterprise software. I design and build open-source tools involving MCP, AI governance, model workflows, code intelligence and developer productivity.

My work combines technical implementation with architecture thinking: understanding constraints, reducing unnecessary complexity and designing systems that can evolve beyond the prototype stage.

Focus areas

AI Architecture · Software Modernization · Open-source Engineering · Technical Strategy

Next step — introductory call

Have a system that needs to evolve?

Let’s discuss your current architecture, technical challenges and goals. The introductory call is designed to understand the context, assess the fit and identify the most useful next step.

Book a Free 30-Minute Intro Call

The introductory call does not include a complete architecture design, code review or implementation plan.

08 /Contact

Tell me about your system.

Share the context — the system, the constraints and what needs to change. I read every message and reply with an honest first assessment.

Helpful to include

  • +Current system and stack
  • +The problem that blocks you
  • +Your target timeline

The scheduling link is being configured. Until then, use the form and I will suggest available times by email.

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