Matthew J. Wozniak

Matthew J. Wozniak

Director of Engineering & Systems Architecture

Public + private sector experience. Systems that ship and survive real-world pressure.

Executive Summary

Over 15 years of experience across public and private sectors, building production systems in regulated, high-availability environments where failure is visible, expensive, and permanent. Deep expertise in AI/LLM platform work—RAG architectures, evaluation frameworks, and production deployment—grounded in a systems-first mindset that prioritizes reliability, scale, and operational discipline over technology trends.

Selected Systems

Production platforms and organizational systems designed and delivered in regulated, high-availability, and performance-critical environments.

Regulated

Designed and delivered AI-powered search systems for public-sector platforms, integrating LLMs and agent-based workflows to improve discovery, relevance, and response quality in regulated environments.

Impact
→Led architecture and performance optimization for citizen-facing data platforms
→Established engineering standards and onboarding programs to scale delivery capacity across teams

Leadership Domains

Architecture & Systems Strategy

  • End-to-end system design for scale and reliability
  • Technology selection based on constraints, not trends
  • Long-term maintainability and operational readiness

Platform & API Design

  • RESTful and event-driven service architectures
  • API contracts, versioning, and integration patterns
  • Performance optimization at the platform level

AI/LLM Systems Integration

  • RAG pipelines, embeddings, and retrieval systems
  • LLMs, Transformers (HuggingFace), and prompt engineering
  • NLP libraries (spaCy, NLTK), TensorFlow, PyTorch
  • Evaluation frameworks and responsible AI practices

Reliability & Delivery

  • CI/CD pipelines and deployment automation
  • Observability, monitoring, and incident response
  • Postmortems and continuous improvement culture

Full-Stack Systems Ownership

I design, build, and operate production systems end-to-end—from user-facing platforms to backend services, data pipelines, and cloud infrastructure. Ownership means being accountable for the system in production, not just the code in the repository.

Technologies are selected based on system requirements, compliance constraints, and performance targets—not trends.

Production Tech Stack

31+ technologies

Writing & Thought Leadership

WozWize Newsletter

October 2023 – Present

Technical writing on AI agents, LLMs, prompt engineering, autonomous systems, and practical AI applications. Bridges technical depth with accessibility for engineers and tech enthusiasts.

  • →Comprehensive guides on AI-driven system architectures and GPT-based agents
  • →Prompt-tuning methodologies and best practices for scalable AI solutions
  • →Career development insights and the role of AI in reshaping software development

Command the Machine

In Progress — Writing

A founder's field manual for structured AI thinking. Explores prompt literacy as the next evolution of human cognition—where language becomes the instrument of thought, not just its record.

  • →Positions prompt literacy as a fundamental shift in how humans encode reasoning for machines
  • →Traces the arc from cave paintings to code to conversational AI
  • →Framework for those who will shape the logic of intelligent systems

Delving into Design Patterns

In Progress — Seeking Publishers

A developer's cheat sheet to scalable software solutions. Demystifies software architecture with practical, real-world examples for all experience levels.

  • →Step-by-step guidance from foundational concepts to advanced insights
  • →Quick-reference cheat sheet for architectural decision-making
  • →Bridges beginner knowledge with expert analysis

Education & Credentials

Education

Bachelor of Science in Computer Science

University at Buffalo, NY

Certification

Certified Agile Practitioner

Project Management Institute

US Citizen · Currently based in Singapore

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