Robin Singh

Quantitative Researcher

Bengaluru, Karnataka, India
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Summary

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Robin Singh is a quantitative researcher with nine years of experience applying mathematical modeling, machine learning, and control theory to trading and derivative problems. A BS-MS graduate in Mathematics and Scientific Computing with a machine learning and cognitive sciences minor from IIT Kanpur, he has built practical market-making and trading strategies at Nomura and now designs quantitative solutions at Algoquant. His internship work combined reinforcement learning and optimal control to generalize Black–Scholes hedging, producing novel dynamic hedging and option pricing approaches that improved portfolio hedging efficiency. He also brings hands-on ML systems experience from industrial projects—computer vision-based toll automation, ANPR, and end-to-end client-server and DBMS integrations—which complements his quant research toolkit. Based in Bengaluru, Robin blends theoretical rigor with production-ready engineering to bridge research ideas and deployed trading systems.
code9 years of coding experience
job2 years of employment as a software developer
bookMarticulation, Science, Marticulation, Science at Tagore Baal Niketan Sr. Sec. School, Karnal, Haryana
bookIndian Institute of Technology Kanpur
languagesHindi, English
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Github Skills (15)

word-sense-disambiguation10
hierarchical10
crf10
wordnet9
convolutional-neural-networks9
attention-mechanism9
lstm8
backend7
part-of-speech7
keras6
deep-learning6
tensorflow6
deep-neural-networks4
network-analysis2
python2

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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Contributions:49 commits, 7 PRs, 39 pushes in 6 months
hospitalspythonnetwork-analysis
Contributions:8 commits, 7 pushes, 1 branch in 4 years 1 month
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