Matt Angus
Machine Learning Engineer at Wayve
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolMatt Angus is a Machine Learning Engineer based in London with 11 years of software development experience and a Master’s in Computer Science focused on computer vision and ML for autonomous driving. He progressed from deep learning research internships—building world models and VAEs in simulated driving environments—to lead and principal roles at Humanising Autonomy, and most recently joined Wayve to apply those skills at scale. Matt blends research rigor with practical engineering: shipping production-facing perception systems, improving backtesting and hyperparameter optimisation for algorithmic strategies, and routinely refactoring for reliability. His background in algorithms, pure mathematics, and hands-on simulator work gives him a strong grasp of uncertainty, model evaluation and safety-critical ML. Colleagues describe him as the kind of engineer who closes the loop between prototype and production, with an appetite for squeezing extra precision out of models and systems.
11 years of coding experience
7 years of employment as a software developer
Exchange Computer Science, Exchange Computer Science at The University of Western AustraliaBachelor of Science (BSc) Computer Science Concentration in Algorithms and Complexity Theory Minor in Pure Mathematics, Bachelor of Science (BSc) Computer Science Concentration in Algorithms and Complexity Theory Minor in Pure Mathematics at The University of CalgaryMaster’s Degree Computer Science, Master’s Degree Computer Science at University of Waterloo
Github Skills (9)
machine-learning10
tradingview10
hyperopt10
backtesting10
python10
trading10
backtest10
fread10
pandas9
Programming languages (13)
Github contributions (5)
Rikj000/MoniGoMani
Apr 2021 - Apr 2021
Isn't that what we all want? Our money to go many? Well that's what this framework/strategy hopes to do for you! By giving you & HyperOpt a lot of signals to alter the weights from.
Role in this project:
Back-end Developer & Machine Learning Engineer
Back-end Developer & Machine Learning EngineerContributions:2 reviews, 8 commits, 2 PRs in 1 day
Contributions summary:Matt focused on enhancing the MoniGoMani trading strategy, primarily by refining its backtesting capabilities and hyperparameter optimization. They implemented timeframe zooming to improve backtesting precision and prevent issues with tight trailing stop losses. Furthermore, the user added precision controls for hyperparameter optimization, improving the search space for the trading strategy. They made code improvements, refactoring, and adding useful comments.
pythonfreqtrade-strategiesstrategyfinancemoney
mattangus/fast-semantic-segmentation
Sep 2018 - Nov 2019
Contributions:94 commits in 1 year 1 month
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