Marc Stephen Nealer

Technical Content Engineer | Systems Architect | Strategic IT Consultant

Email: marcnealer@gmail.com | Location: Thailand (Remote)
LinkedIn: linkedin.com/in/marcnealer | GitHub: github.com/mnealer | GitLab: gitlab.com/marcnealer
Medium: medium.com/@marcnealer (Specializing in HTMX & Pydantic Ecosystems)

Executive Summary

A veteran Systems Architect and Technical Content Engineer with over 20 years of experience translating complex technical requirements into scalable software architectures and high-impact educational content. Expert in System Design using UML to bridge the gap between business logic and high-performance backend execution. Specializing in the "Agentic AI" shift, I provide strategic consultancy on RAG architectures and distributed systems while maintaining a high-authority technical voice through published articles on modern Python stacks.

Core Expertise

  • Technical Content Engineering: Producing deep-dive technical documentation and articles on HTMX, Pydantic, and FastAPI that simplify complex asynchronous patterns for a global developer audience.
  • System Architecture & Design: Utilizing UML and PlantUML to map out distributed systems, real-time messaging flows (RabbitMQ), and database schemas (PostgreSQL/NoSQL) before a single line of code is written.
  • AI Strategy & RAG Consultancy: Advising B2B clients on the implementation of Agentic workflows using LlamaIndex to leverage private data securely.
  • DevOps & Infrastructure Design: Designing cost-effective, high-availability Linux environments using LXC containers, Nginx, and automated Ansible deployments.

Professional Experience

Technical Consultant & Content Engineer

Freelance | April 2015 – Present

  • Systems Consultancy: Provide high-level architectural oversight for B2B clients, identifying potential bottlenecks and "roadblocks" in the design phase that others often miss.
  • Technical Authorship: Engineered a series of high-traffic technical articles on Medium.com, focusing on modern web patterns (HTMX) and data validation (Pydantic).
  • AI Architecture: Consulted on the development of "Agentic" systems for Shopify, designing workflows that allow LLMs to interact with private data via LlamaIndex.
  • Legacy-to-Cloud Migration: Led the strategic shift for clients from expensive cloud providers to efficient dedicated server environments using LXC and SystemD.
  • System Validation: Developed comprehensive functional testing strategies using the Robot Framework to ensure architectural integrity across complex web applications.

Software Development & Database Manager

Thomas’s London Day Schools | May 2008 – April 2015

  • Lead Architect: Spearheaded the requirements gathering, UML design, and implementation of a custom Django-based MIS system that replaced legacy infrastructure.
  • Data Strategy: Designed and documented a suite of Python libraries for automated cross-platform data extraction and reporting, integrating MSQL with modern web-based visualization tools.
  • Team Leadership: Mentored junior developers and managed project lifecycles from initial consultation to final maintenance.

Automation Consultant

J.P. Morgan & Capgemini | 1998 – 2001

  • Process Optimization: Consulted with major financial and IT clients to identify manual overhead and implement cross-platform automation strategies using REXX and Tivoli.

Technical Stack for Architecture

  • Modeling: UML, PlantUML, Agile Methodologies, Jira.
  • Frameworks for Implementation: FastAPI, Django, Django Rest Framework, Tortoise ORM.
  • Data Architecture: PostgreSQL, ArangoDB, Pymongo, Redis, RabbitMQ (Real-time Messaging).
  • Automation & QA: Ansible, Robot Framework (Functional Testing), GitLab CI/CD.

Education & Professional Identity

  • Open University: IT & Computing with a focus on System Design and Programming.
  • Neurodivergent Perspective: Leveraging a unique cognitive approach to visualize complex system interactions and edge cases long before implementation begins.

References available upon request.