Mark Goertz

Open for conversations about AI.

Mark
Goertz

Software Engineer & AI Researcher

Building intelligent systems that turn complex data into actionable insight.

Who I Am

About

Professional Profile

Engineer first.
Research-driven.
Outcome focused.

I’m passionate about creating practical software solutions that make a meaningful difference. Whether building complex systems or working with cutting-edge AI and cloud technologies, I thrive on tackling challenges—and value working with teams that strive for excellence, growth, and real-world results.

5+ Years in technology
3+ Organizations supported
MSc Applied IT
BSc Software Engineering

How I Work

I take a hands-on, iterative approach to problem solving—learning by building, continuously refining through feedback, and focusing on effective communication. My aim is to create clear, robust solutions without unnecessary complexity.

Build Fast, Learn Faster

I believe in rapid prototyping and early experimentation to drive insight and share progress efficiently.

Foundations Matter

I strive to understand core principles—ensuring solutions are well-grounded and avoiding unnecessary complexity.

Ask, Share, Improve

I value collaboration, seek constructive feedback, and enjoy working with others to continuously enhance projects.

Skills I Can Use

Python TypeScript Agentic AI Generative AI Azure React Docker Azure Data Factory Grafana InfluxDB Machine Learning

Selected Impact

  • Designed and delivered a hybrid ETL platform on Azure that reduced manual processing and improved reporting turnaround.
  • Built real-time monitoring foundations for production systems, giving operations teams immediate infrastructure visibility.
  • Contributed to applied AI research for wearable stress detection, including data pipeline design and model experiments.
My Journey

Resume

Education

  1. Master of Applied IT, MSc

    2024 — 2025

    Researching AI-driven stress detection through wearable biosensors at Fontys University of Applied Sciences. Focus areas include machine learning pipelines, developing 1D-CNNs for stress detection, and validating the results.

  2. Software Engineering, BSc

    2019 — 2024

    Graduated with a comprehensive foundation in software architecture, agile development, and cloud computing. Capstone project: a production-grade hybrid ETL pipeline on Azure serving multiple enterprise clients.

  3. Minor in Entrepreneurship

    2023

    Developed a full business plan and go-to-market strategy for a tech startup, covering lean methodology, financial modelling, and investor pitching.

Experience

  1. iO Digital — AI/Software Engineer

    2025

    Develop AI and cloud-based solutions tailored to client needs, using a wide range of technologies across web development and data engineering. Focus on building advanced Agentic AI products, such as search and voice agents, by leveraging platforms like OpenAI and Anthropic. Core technologies include Python, TypeScript, and React.

  2. Fontys — Student Applied AI Researcher

    2024 — 2025

    Conducted data engineering for a Smart Stress Wearables project. Analyzed the data, trained classification models on biometric signals, and validated the results.

  3. Gilde-BT — Software Engineer (Graduation)

    2023 — 2024

    Designed and shipped a hybrid ETL pipeline using Azure Data Factory and Serverless Functions, automating data transfer from on-premises databases to customer-facing dashboards. Reduced manual data handling by 90% and cut delivery time from days to minutes.

  4. Stream Group — Software Engineer Intern

    2022

    Built a real-time server monitoring solution with Grafana and InfluxDB, giving the operations team immediate visibility into system health across 50+ production nodes.

Say Hello

Get in Touch

Have a project that needs engineering muscle, a research collaboration in mind, or just want to talk tech? I'd love to hear from you.