Christian-Peter Heimbach

Christian-Peter Heimbach

Actioncy Tech

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With over 18 years of experience in the games industry, Christian-Peter Heimbach has established himself as a dynamic marketer, software engineering leader, advisor, founder, and company director. He started Actioncy Tech Ltd, a London-based software engineering firm dedicated to augmenting in-house engineering teams, spearheading digital transformation projects, and developing digital products specifically tailored for the games industry. Driven by a mission to deliver high-quality, innovative, and scalable solutions, Heimbach prioritizes meeting client and user expectations through collaboration, creativity, and continuous learning. At his core, he is a humanist, committed to building supportive teams that prioritize people-first values and continuous growth of the team members.


Before establishing Actioncy, Heimbach served as the COO of DataTiger, a marketing orchestration platform renowned for optimizing real-time, user event-triggered marketing journeys at a scale of billions of events and across various channels. He played a key role in the core team that led to a successful acquisition by Apple in 2018.


His career trajectory also encompasses significant stints in digital marketing and publishing of video games across all platforms, covering a spectrum from AAA titles to self-published indie studio games. Heimbach has been an integral part of internationally recognized companies such as NCsoft, Warner Bros., Hello Games, Hi-Rez Studios, and Epic Games, contributing to their global success and innovation in the gaming industry.

Christian-Peter Heimbach is speaking at the following session/s

Practical Machine Learning for Game Developers, Publishers and Studios

11:00am - 11:45am
Room 4

A Journey from Theory to App.

Demystify machine learning’s complexities and showcasing its practical applications in game publishing. Starting with a foundational overview of ML concepts, Heimbach shares his journey of fine-tuning a machine learning model, offering a candid post-mortem analysis of the challenges faced and lessons learned. Attendees will gain insights into the iterative process of ML model development, from data gathering and model training to evaluation and fine-tuning, with a focus on actionable strategies and use cases. This talk aims to equip game developers with the knowledge and tools to leverage machine learning in their own projects.

Session Takeaway

  • Foundational Understanding: Grasp core ML concepts and how they can be applied to game development.
  • Practical Insights: Learn through a real-life case study of developing a machine learning model, including selecting the right algorithms, dealing with data, and overcoming obstacles.
  • Actionable Strategies: Discover effective techniques for model evaluation and fine-tuning to enhance game features, such as AI behaviour, content generation, and player experience personalization.

Session speakers

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