Arlene Siswanto
Quantitative Researcher
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolArlene Siswanto is a quantitative researcher based in New York with nine years of experience at the intersection of machine learning, research infrastructure, and high-frequency trading. Currently at DRW, she brings prior research and applied AI experience from Google’s AI Residency and hands-on platform work at DeepMind, coupled with quantitative extern and trading internships at Shell Street Labs and Jump Trading. Trained at MIT with both BS and MEng degrees, she blends rigorous academic foundations with practical software engineering chops developed through internships at Bloomberg, IBM, and TrueMotion. Arlene’s background suggests a rare fluency in building research-ready systems that bridge experimental AI work and production trading strategies. Colleagues describe her as a pragmatic problem-solver who moves smoothly between prototyping novel models and hardening them for low-latency environments.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Bachelor of Science - BS at Massachusetts Institute of Technology
Github Skills (3)
react4
frontend3
typescript3
Programming languages (4)
Github contributions (5)
arlenesiswanto/arlenesiswanto.github.io
Jul 2017 - Aug 2022
Contributions:3 pushes, 1 branch in 5 years 1 month
Averylamp/Meter-Website
Aug 2017 - Sep 2017
Contributions:11 commits in 1 month
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.