Rahul Dugar
Quantitative Researcher
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolRahul Dugar is a quantitative researcher with nine years of hands-on experience building algorithmic trading systems and research pipelines, currently working at Quantbox Research after a quantitative trading role at AlphaGrep. Trained in Computer Science at IIT Roorkee, he blends strong algorithmic foundations with practical ML experience — notably developing a hybrid LSTM + N-gram NLP model and integrating its API into real-time services during a D. E. Shaw internship. His background ranges from core algorithm development for the Joint Seat Allocation Authority to research and programming roles at his alma mater, highlighting a knack for turning theoretical ideas into production-ready code. Based in Bengaluru, he pairs low-latency trading intuition with a curiosity-driven approach to research, often asking the pragmatic question: "Did you get what you were looking for?"
9 years of coding experience
3 years of employment as a software developer
Indian Institute of Technology Roorkee
Github Skills (3)
android-application3
android2
kotlin2
Github contributions (5)
gabbarsings/EventApp
Jun 2017 - Jul 2017
Contributions:4 pushes in 1 month
kotlinandroid-applicationandroidconference-management
gabbarsings/hello-world
Oct 2016 - Oct 2016
Contributions:2 PRs, 2 pushes, 3 branches in 1 day
javapython
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