Aidan Dang
Melbourne, Victoria, Australia
Summary
👤
Senior🎓
Top SchoolAidan Dang is a quantitative researcher and full-stack problem solver with 11 years of experience blending physics, mathematics and software engineering to build trading strategies and market-making systems. Currently a Quant at Grasshopper Asset Management, he works on Japanese ETF market-making and Indian index options trading, applying production-grade software to low-latency HFT problems. He holds First Class Honours and an MSc in Physics from the University of Melbourne, has published research in quantum computing, and helped launch several university courses on quantum computing and cryptocurrencies. An award-winning sessional academic and head tutor, he pairs rigorous analytical thinking with practical teaching experience and has built web-based teaching tools that bridge research and production.
11 years of coding experience
5 years of employment as a software developer
The University of Melbourne
Github Skills (143)
python10
messenger10
firmware10
chat10
deep-learning10
gpu10
linux10
ml10
neural-network10
jax10
slug10
facebook-messenger10
electron10
tensorflow10
macos10
Programming languages (16)
Github contributions (5)
AidanGG/tensorflow_tmva
Dec 2015 - Feb 2016
A proof of concept adapter to use Google's TensorFlow in place of ROOT's TMVA.
Contributions:3 releases, 122 commits, 102 pushes in 2 months
tensorflow
AidanGG/systemd
Jul 2022 - Feb 2023
The systemd System and Service Manager
Contributions:33 pushes, 7 branches in 7 months
service-managerlinuxsystemd
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