John Malik

Quantitative Researcher

Austin, Texas, United States
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Summary

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Top School
John Malik is a quantitative researcher with eight years of experience applying mathematics and machine learning to trading and real-time products, currently working on Delta One strategies at Optiver. He holds a PhD in Mathematics from Duke and has built production ML for Alexa at Amazon, specializing in statistical and neural language modeling, time series analysis, and signal processing. His background blends pure and applied research across top institutions (Western, Toronto, Duke) with hands-on engineering to improve data labeling pipelines and real-time user interfaces. Known for manifold learning and rigorous experimental analysis, he brings a rare combination of deep theoretical skill and practical product impact, now based in Austin, Texas.
code7 years of coding experience
job6 years of employment as a software developer
bookBachelor's Degree, Mathematics, Bachelor's Degree, Mathematics at Western University
bookDoctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at Duke University
bookMathematics, Mathematics at University of Toronto
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Stackoverflow

Stats
1reputation
560reached
0answers
1question
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Github Skills (23)

kaggle10
parallel10
classification10
r10
data-mining10
gradient10
gradient-boosting10
lightgbm10
decision-tree10
microsoft9
catboost9
gbm9
python9
machine-learning9
ranking9

Programming languages (2)

C++Python

Github contributions (5)

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Contributions:15 commits, 14 pushes, 1 branch in 9 months
jrvmalik/gradient-descent

Mar 2019 - Sep 2019

Contributions:6 commits, 5 pushes, 1 branch in 5 months
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John Malik - Quantitative Researcher