About Us

Learn about the TensorWorks team and the values that drive us.

Mission Statement

TensorWorks provides tools and services that empower our customers to work more effectively and to undertake previously infeasible projects that advance the state-of-the-art. We service customers across a broad range of creative and technical industries, as well as in research and academia.

To achieve this vision, we identify problem domains that align with our core values and represent opportunities for us to solve interesting problems whose solutions represent a meaningful contribution to an identified customer base and to the world around us.

Core Values

These are the core values that we hold as a company. Our values inform our mission statement and guide all of our decision making processes.

Autonomy

We value the ability to define our own direction and to choose the work we do. This choice is enabled by a foundation of personal and organisational stability, and by financial security. Autonomy is the primary motivating factor for running our own business instead of simply working for existing companies.

Growth

We value continuous improvement within all aspects of our company, and the personal growth of all employees. We are ambitious and driven, dedicated to lifelong learning and to elevating ourselves to ever greater heights.

Curiosity

We value intellectual curiosity and the inherent desire for challenge and variety that it entails. We strive to choose work that sates our thirst for knowledge and actively engages our enthusiasm and passion for creative problem solving.

Cooperation

We value the human bonds between our employees, and strive to foster a culture of teamwork, loyalty and friendship. We are inclusive and accepting of all who share these core values, and acknowledge that diversity breeds robustness and innovation in both thought and action. We value collaboration with external parties who share our values and seek to establish and maintain such connections wherever possible.

Contribution

We value meaningful contribution to the world around us, and seek challenges that provide an opportunity to make the world a better place. Through the application of science and the development of tools to empower others, we can and will make a difference.

Transparency

We value open and honest communication, and strive to disseminate the results of our work with the broader community whenever possible. Knowledge should be shared openly and freely for the benefit of humanity.

Balance

We value the health and happiness of our employees, and we all strive to maintain a healthy balance in our lives. We always remember that work is only one part of a greater whole, and a means that should never overshadow its ends.

Logic

We value logical and reasoned thinking, prudent planning, and informed decision making based on concrete data. We are guided by the discipline and empiricism of the scientific method.

Executive Team

Adam Rehn

BInfTech (Hons), PhD, MACS

Adam is the world's foremost expert on Unreal Engine containers, the maintainer of the Unreal Containers community hub, the Unreal Engine For Research initiative, and the creator of projects including ue4-docker, ue4cli and conan-ue4cli. He specialises in automation, tooling, and infrastructure, with a focus advancing the forefront of container and Wine technologies in the cloud. Adam received his PhD in Information Technology from James Cook University in 2017.

Aidan Possemiers

BInfTech (Hons), AACS

Aidan put his PhD in "AI-based Signal Processing and Compression" down to co-found TensorWorks and pursue his real passion: pushing boundaries in interactive rendering and low latency video streaming. His prolific contributions to the Unreal Engine's Encoding and Decoding plugins and RHIs have made significant improvements to Codec SDK and RHI synchronisation—minimizing stream latency. This work builds upon his existing expertise in Graphics APIs, Computational Geometry, GPU Acceleration, Video Codecs and Neural Networks. In his spare time, he likes to pursue how AI-based techniques such as frame generation and super resolution might help solve some of the limitations inherent in today's low latency video streaming technology.

Luke Bermingham

BInfTech (Hons), PhD

Luke is an expert in cloud streaming, Unreal Engine, and WebRTC. He contributes heavily to Epic Games' Pixel Streaming plugin, has presented talks and panels about Pixel Streaming and UE cloud deployments at Unreal Fest, invented novel algorithms, and shipped massively scalable multiplayer video games. Luke's talents extend beyond software development; he is deeply passionate about business management, adept at organizing teams, projects, and personnel to drive success. His academic achievements include earning a PhD in Information Technology from James Cook University in 2018, further solidifying his expertise in computer science.

Nicholas Pace

BInfTech

Nick is an expert build infrastructure architect, specializing in tackling the intricate challenges of building large-scale complex software. He has successfully created build systems that achieve ABI compatibility, multi-platform support, debug symbol management, static analysis, and integration of challenging third-party dependencies, ensuring seamless project execution. Nick consistently develops at the forefront of Bazel, extending the system to create novel solutions for building complex C++ projects and streamlining developer workflows. His expertise also encompasses Unreal Engine, C++, and real-time graphics APIs, with notable contributions to Unreal Engine's Pixel Streaming and AVCodecs plugins. With a diverse skill set and a proven track record of shipping numerous games and simulation projects across PC, Web, and VR platforms, Nick showcases exceptional technical expertise and adaptability.

Consulting Team

Aaron Ross

BInfTech / BArts (Digital Design)

Aaron has worked extensively with the full gamut of cloud technologies to run cloud native applications in both private and public sector cloud environments. Aaron is a certified Kubernetes administrator, application developer, and AWS practitioner. Aaron’s expertise was developed during his time at AWS and Ericsson whilst working on multiple world-first projects, showcasing his passion for implementing cutting-edge technologies in complex scenarios. He is currently focussed on advancing TensorWorks’ world-first initiatives to run Unreal Engine with Wine-Proton in the cloud.

Aiden De Loryn

BInfTech

Aiden works at the forefront of container and cloud deployment technology, specialising in running workloads in non-native environments. He has made significant contributions to the field, including a world-first achievement in adding Windows container support to the Kubernetes-based CI/CD pipeline, Tekton, enabling the platform to run Unreal Engine Windows builds. Additionally, Aiden has advanced the state-of-the-art in deploying Windows cloud workloads on Linux containers using Wine, making Wine in containers more reliable and easier to manage for all users. With over a decade of professional experience in networking and server infrastructure, Aiden brings invaluable full-stack expertise, which has proven essential in developing production-grade cloud-native solutions for clients.

Denis Phoenix

BEng Electronics / Humanities (Hons), PGDE

Denis is deeply passionate about production, project management, quality assurance and product management. He is dedicated to delivering outstanding products, ensuring client satisfaction, and fostering a positive work environment for his team. With extensive expertise across diverse industries and technologies, including micro- and nanoelectronics design, satellite and radio frequency communications, as well as 3D engines and game development, Denis brings a wealth of knowledge and skills to every project he undertakes.

Eden Harris

BCompSc

Eden is a highly skilled specialist with expertise in video coding, 3D graphics programming, and low-level performance optimization. With a passion for accelerating software performance, Eden is highly effective at optimising performance critical workloads by leveraging CPU intrinsics and GPU offloading techniques. As a seasoned full-stack developer, Eden also has over a decade of experience working with diverse technology stacks, including modern C++ and bleeding-edge web technologies. Eden's extensive background in 3D graphics has allowed him to work at the forefront of both software rendering and VR video playback. At TensorWorks, Eden’s combined skill set across 3d graphics, video, and performance optimisation has allowed him to make significant contributions to Unreal Engine's Pixel Streaming and AVCodecs plugins, enhancing both performance and functionality for all Unreal Engine licensees.

Eugene McArdle

BInfTech (Hons), PhD

Eugene is an expert in container and Kubernetes technologies, specialising in deploying mixed Windows and Linux workloads and integrating complex software into a microservices architecture. In particular, Eugene has a wealth of experience running and building Unreal Engine workloads in Kubernetes, where he has overcome size requirements, platform issues, and integrating proprietary software such as Perforce into a Kubernetes cluster. Eugene also has extensive experience in teaching and research, he taught computer science and information technology at James Cook University for over 15 years and received his PhD in 2018. Eugene perfectly bridges the gap between academia and industry, bringing cutting-edge technical expertise to real-world problems.

Matthew Cotton

BCompSc

Matthew is an expert in Pixel Streaming, WebRTC, and Unreal Engine, with an impressive track record of contributions to Unreal Engine’s Pixel Streaming plugin. His expertise is built on over a decade of experience using 3D games engines to create high-performance, cutting-edge video games. Matthew has collaborated with top AAA studios to bring their iconic properties to market, and has extensive experience in shipping games on mobile, virtual reality, and web platforms. Currently, Matthew is pushing the boundaries of Pixel Streaming with his innovative contributions, notably the addition of simulcast and selective forward unit support, which has enabled one-to-many Unreal Engine streaming use cases for the first time.

Michael Stopa

BInfTech

Michael is an expert in game engine technology, 3D graphics programming, and low-level programming. With a background in the games industry, he has successfully shipped titles that have been enjoyed by millions of gamers worldwide. In addition to his game-tech expertise, Michael is also a C/C++ and Linux guru, and has a remarkable ability to debug and solve complex memory and threading bugs in customer production environments using only his trusty terminal. His adaptability across projects and domains is exceptional, delivering excellent results across a range of stacks, ranging from the lowest level C code to modern web development. Moreover, Michael is also an excellent communicator and educator having spent nearly a decade teaching programming at the University of South Australia, as a result of his teaching ability and technical expertise Michael is a true multiplier on any project he is part of.

Michael Wallace

BInfTech

Michael is dedicated to delivering high quality software and exceptional support experiences to TensorWorks customers and clients. He has developed and refined quality assurance processes for many software products, and has a deep understanding of the critical relationship between getting software right during development and providing ongoing support. Michael has a unique combination of skills with over a decade of combined customer support, 3d modeling, video editing, and voice over experience. These skills have enabled Michael to create highly sought-after video series that educate and document how to use TensorWorks and client software. Michael firmly believes that most support issues can be avoided by empowering end users with the information and tools they need to succeed. His comprehensive Pixel Streaming video series and accompanying cloud deployment guide are testaments to this approach, providing users with the knowledge and resources they need to thrive.

Nazar Rudenko

BSc Economics

Naz is an expert in WebRTC, video streaming, and real-time communications. Naz has nearly two decades of experience building data and telephone networks and has successfully developed and deployed scalable real-time communication software to thousands of end users. Naz has a breadth of development experience ranging from streaming protocols, media codecs, video transcoders and high-throughput media gateways to cross platform development across PC, Linux, Mac, Web, Android, and iOS. At TensorWorks, Naz has applied his considerable experience to advancing the forefront of Pixel Streaming, which has resulted in improved Pixel Streaming video bitrates, quality, and stability for all Unreal Engine licensees.

William Belcher

BEng Electronic Systems (Hons), BSc Data Science

William is an expert in video coding, low latency streaming, Unreal Engine, and WebRTC. He contributes heavily to Unreal Engine’s Pixel Streaming plugin and has personally driven many of the features including: AV1 encoding, Mac OS support, and Editor streaming. William is constantly seeking ways to improve streaming for latency critical use-cases such as telehealth, autonomous vehicles, and gaming. In 2023 William submitted his thesis “Improving live stream quality in low-latency applications” where he introduced a novel video codec that was resilient to packet loss without increased jitter buffering or freezes common in current low latency streaming technology. His thesis was awarded a university medal from James Cook University for its novel contribution.

Product Development Team

Daniel Holden

BInfTech

Daniel is the feature owner of TensorWorks’ Scalable Pixel Streaming framework infrastructure deployed on AWS. He has a wealth of experience in building out massively scalable Kubernetes based streaming systems, and is an expert in the nuances and challenges of deploying both Linux and Windows graphical container workloads in cluster. He is particularly passionate about leveraging cutting edge container technologies on AWS (e.g. lazy-pulling and Nydus) to facilitate user adoption of collaborative Unreal Engine technology in the cloud. Additionally, Daniel has over a decade of experience developing and deploying for the web, which has given him a full-stack skill set when it comes to building scalable cloud deployments for our customers.

David MacPherson

BInfTech

David is the feature owner of TensorWorks’ Scalable Pixel Streaming tooling and frontend. He has a wealth of experience in building out technologies that simplify the process of deploying Unreal Engine Pixel Streaming containers in the cloud. David also has extensive experience deploying WebRTC streaming applications for enterprise in highly constrained networking environments. Additionally, David has over a decade of experience working with IT and networking deployments in government and enterprise networks, which has proven invaluable for developing robust streaming solutions for enterprise.

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