Rupesh 

Quantitative Trader

Darjeeling, West Bengal, India
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Summary

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Senior
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Top School
Rupesh is a quantitative trader with nine years of experience and a BTech in Computer Science from IIT Bombay, combining strong machine learning and statistics foundations with hands-on market-facing strategy work at Tower Research Capital. He has moved up from strategist roles to a trading position, applying data-driven signal generation, rigorous backtesting, and P&L-focused evaluation to convert predictive models into execution triggers. His background includes computer vision projects (virtual try-on and texture modeling), research-oriented teaching and mentoring at IIT Bombay, and practical internships working on large-scale data and ML systems. Actively exploring game theory and reinforcement learning, he brings a research curiosity to production problems and recently started blogging and writing movie reviews, signaling a creative, communicative side beyond the desk. Based in Darjeeling, he blends quantitative rigor with applied engineering experience across finance and vision applications.
code9 years of coding experience
bookIndian Institute of Technology Bombay
bookIntermediate, Intermediate at Lal Bahadur Shastri Smarak Javm Sr School
bookMatriculation, Matriculation at Ramakrishna Mission Vidyapith, Deoghar
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Stackoverflow

Stats
538reputation
15kreached
25answers
1question
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Github Skills (129)

segmentation10
visual-recognition10
face-recognition9
computer-vision9
python9
gpu9
responsive9
face-detection9
jekyll9
prepare9
object-detection8
deep-learning8
jekyll-theme8
machine-learning8
neural-network7

Programming languages (13)

JavaCSSCMakeHTMLJupyter NotebookMATLABJsonnetTypeScript

Github contributions (5)

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rs9899/rs9899.github.io

May 2020 - Dec 2022

My personal website
Contributions:183 commits, 2 PRs, 181 pushes in 2 years 7 months
reactnextjs
Contributions:4 PRs, 8 pushes, 3 branches in 3 years
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Rupesh - Quantitative Trader