Neil Newman

Business Development Consultant at LEVESYS

Greater Adelaide Area Australia
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
Top School
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.
code14 years of coding experience
job6 years of employment as a software developer
bookPort Augusta High
github-logo-circle

Github Skills (8)

coregames10
pytorch10
python10
reinforcement-learning10
videogames10
machine-learning9
cpp3
multi-agent3

Programming languages (5)

JavaC++JavaScriptRubyPython

Github contributions (5)

github-logo-circle
google-deepmind/open_spiel

Jun 2020 - Nov 2022

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
Role in this project:
userML 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.
cppmultiagentgamespythondatamining
Contributions:44 commits, 5 pushes in 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Neil Newman - Business Development Consultant at LEVESYS