Neil Newman is a business development consultant with 14 years’ experience focused on scaling software and services for the construction industry across Australia and the Asia-Pacific. Currently driving growth at LEVESYS, he combines enterprise sales strategy, consultative selling and ERP domain expertise to pursue the company’s goal of becoming the largest Australian-owned construction software provider. He has prior CEO and senior consulting experience implementing systems, SDLC and go-to-market strategies for construction tech vendors and has opened new international markets. With a UBC CS PhD background in game theory and reinforcement learning, he uniquely bridges rigorous analytic thinking and practical commercial execution—evidenced by hands-on ML contributions to the OpenSpiel reinforcement learning project. Based in Greater Adelaide, Neil is known for translating complex technical capabilities into compelling, revenue-driving customer solutions.
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
Role in this project:
ML Engineer
Contributions:6 reviews, 23 commits, 3 PRs in 2 years 5 months
Contributions summary:Neil contributed to the development of a single-player PPO (Proximal Policy Optimization) algorithm, including an example implementation and a test. They added a new Atari game environment and adapted existing code for Atari games. The user also made minor updates, such as fixing a typo in a help string and highlighting a subtle feature of the NashConv API.
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Neil Newman - Business Development Consultant at LEVESYS