Yan Wen
Software Engineer at Blackmagic Design
Singapore
Summary
👤
Senior🎓
Top SchoolYan Wen is a software engineer based in Singapore with 9 years of experience specializing in computer architecture, 3D graphics, and game-related tooling. Currently at Blackmagic Design, he brings a blend of low-level systems thinking and creative engineering honed through roles at Gameloft and SDK work at Omniaz. His background from DigiPen and Singapore Polytechnic combines formal computer science training with multimedia sensibilities, enabling him to bridge technical performance work and creative product needs. Yan has practical experience optimizing gameplay and graphics pipelines, building in-house editors, and applying machine learning and time-series analysis approaches informed by his ML interests. He is passionate about using digital platforms to deliver entertainment and innovative solutions, and often integrates 3D math and technical mentorship into team workflows. Colleagues describe him as a pragmatic engineer who pairs curiosity about architecture with a maker’s focus on delivering polished user-facing tools.
10 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at DigiPen Institute of TechnologyHigh School Diploma, Digital Communication and Media/Multimedia, High School Diploma, Digital Communication and Media/Multimedia at Singapore Polytechnic
Github Skills (7)
hyperparameter-optimization10
sklearn10
automl10
clustering10
reinforcement-learning10
trading9
machine-learning9
Programming languages (1)
Github contributions (5)
wywongbd/autocluster
Jun 2019 - Jan 2023
AutoML for clustering models in sklearn.
Contributions:583 commits, 2 PRs, 26 pushes in 3 years 7 months
automlclusteringsklearnhyperparameter-optimizationbayesian-optimization
wywongbd/pairstrade-fyp-2019
Sep 2018 - May 2020
We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.
Contributions:53 commits, 6 PRs, 31 pushes in 1 year 8 months
reinforcement-learningtradingpairs-tradingmachine-learning
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