Co-Founder / CEO
John has launched and revived consumer-facing internet businesses, and led them to dramaticgrowth and success (Gamebookers return improved by 300% in one year, PartyCasino $65m annualrevenue to $150m in 18 months). Since 2013 he has been focused on AI insights and tools for internet-facing consumer businesses, and launched VAIX.ai with his co-founders in 2016 to bringthose concepts to market. The work at VAIX led to the vision and roadmap for Wingman.ai. He realised that every company has the same problem: non-AIexperts in every company need an intuitive way to interact with and extract insights from data using AI, and human-directed AI agents were the result. The natural application of this idea to visual domains such as gaming led to our initial focus on AI agents to enhance players’ experiences in gaming.
Chief Technology Officer
Ivan started with procedural programming in 1991 using a Sinclair ZX Spectrum BASIC at the age of just 10. He did his MSc in AI on the subject of Fully Connected Neural Networks, and started his professional career at Monster.com. Ivan later progressed to Head of Engineering in a company developing security and facial recognition software for three years, having started as Tech Lead. He returned to AI in 2016 as a Java One speaker on Deep Learning, and ran projects including seabed object detection software for sonar maps in submarines. Ivan has a broad, bottom-up understanding of software development, software architecture, development pipeline and agile methods. At Wingman he is leading the team of software engineers to work with Deep Reinforcement Learning on agents – supporting eSports players using semantic commands and visualisation tools.
Dusan is a machine learning engineer at Wingman AI, presently focused on evolving human-assistive reinforcement learning systems. Previously he worked on a scalable computer vision system for seabed image object detection for sonar maps on submarines. Most of his time is spent reading pioneering machine learning papers, with a focus on converting these ideas to something useable. Dusan also has experience with satellite image segmentation, object classification and localisation, generative-adversarial networks, autoencoders and genetic algorithms.
Nikola is a machine learning engineer with experience in deep learning, computer vision, and data science. Currently, he works on combining reinforcement learning with human directives at Wingman AI, creating new models, optimising the training pipeline and reading and implementing state-of-the-art papers. Previously, he worked at a UK company where he was one of the main engineers on a large-scale computer vision analysis project, where the goal was to segment sonar images on petabytes of data using deep learning. He has also worked on numerous other deep learning projects, developing these solutions from idea to production using cutting-edge algorithms. His expertise includes satellite image segmentation, large-scale sentiment analysis, casino table object detection, comic colourisation and even face swap.
Product & Operations
Andreas is responsible for product and operations at Wingman. He has over 16 years of experience in running product, technology and operations in internet, online gaming, mobile and fintech companies. Before Wingman, he was the CPO at PPRO Group (fintech) and Upstream (mobile commerce in emerging markets), where he built up and ran the product and alliance teams, and at PartyGaming and bwin.party (online gaming), where he built the core gaming platform and helped merge teams and products. He started his career at AltaVista, Overture and Yahoo! in Silicon Valley, where he built one of the world’s first contextually-aware search algorithms. Andreas has a Diploma in Business Administration from Ludwig-Maximilians- Universität Munich, holds four patents and has published several articles on internet economy.