G G
Quantitative Investor
United States
Summary
👤
Senior🎓
Top SchoolG G is a quantitative investor and machine learning researcher with 12 years of experience applying AI, big data and statistical theory to systematic investment at BlackRock. He holds a PhD from MIT CSAIL where he studied at the intersection of finance, algorithms and large-scale pattern recognition under advisors including John Guttag and Andrew Lo. His background blends hands-on engineering (VMware, Motorola), entrepreneurship (founder of an intelligent feed classifier), and production research in systematic active equity and alternative datasets. Skilled in time-series, NLP, feature learning and signals-and-systems, he focuses on extracting tradable signals from unconventional, high-dimensional data. Based in the United States, he pairs academic rigor with practical implementation experience scaling predictive models into live investment processes. An avid photographer and artist, he brings a visual and creative lens to data-driven problem solving.
12 years of coding experience
6 years of employment as a software developer
BSc(Engineering), Electronic and Telecommunication Engineering, 4.15/4.2, BSc(Engineering), Electronic and Telecommunication Engineering, 4.15/4.2 at University of MoratuwaMaster of Science (MS), Computer Science, 5.0/5.0, Master of Science (MS), Computer Science, 5.0/5.0 at Massachusetts Institute of Technology
Sinhalese, Tamil, English
Github Skills (3)
database3
visualization3
rapid3
Github contributions (2)
garthee/gnot
Aug 2013 - Jan 2015
Contributions:42 commits, 11 pushes, 5 comments in 1 year 4 months
rapiddatabasevisualization
garthee/cvxpy
Feb 2023 - Feb 2023
Developing a modern website for CVXPY documentation.
Contributions:1 push in 1 day
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