Leo Wang
Machine Learning Engineer at AIR Trading
Sydney, New South Wales, Australia
Summary
👤
Senior🎓
Top SchoolLeo Wang is a quantitative researcher and machine learning engineer with a decade of experience applying advanced math and ML to finance and ad-tech. He holds a PhD in Mathematics and dual undergraduate training in mathematics, computer science, and statistics, and has progressed from quantitative analyst roles at major banks to senior ML positions at Rokt and fast-paced startups. Currently at a stealth firm, he focuses on productionizing research-grade models and bridging the gap between academic rigor and scalable engineering. A longtime Kaggle user (calibrator) and researcher at Monash’s quantitative finance centre, he brings both competition-honed modeling instincts and peer-reviewed research experience to solve noisy, real-world prediction problems.
10 years of coding experience
5 years of employment as a software developer
The University of MelbourneDoctor of Philosophy (Ph.D.) Mathematics, Doctor of Philosophy (Ph.D.) Mathematics at Monash University
Japanese, English, Chinese
Github Skills (37)
deploying8
temporal8
uncertainty7
sh6
watson6
pytorch-lightning6
machine-learning6
apache-beam5
cuda5
tensorflow5
gpu5
time-series-forecasting5
pelican5
forecasting5
responsive5
Programming languages (3)
Github contributions (5)
0xleowang/heston-model-euler-schemes
May 2017 - Jun 2021
Contributions:3 commits, 2 pushes, 1 branch in 4 years 1 month
elv0816/pde-attempt
Aug 2018 - Jun 2021
Contributions:1 push, 1 branch in 2 years 10 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.