Quantbox Research
Rahul Dugar is a quantitative researcher at Quantbox Research since January 2024. Previously, Rahul served as a quantitative trader at AlphaGrep from May 2021 to December 2023 and was a programmer at the Programming and Algorithms Group at IIT Roorkee from January 2018 to May 2021. During a summer internship at D. E. Shaw India in 2020, Rahul developed a Hybrid LSTM + N-gram based Natural Language Processing model and integrated its API into an existing service for real-time inferences. Additionally, Rahul worked as an algorithm and software engineer for the Joint Seat Allocation Authority from December 2018 to July 2019. Rahul holds a Bachelor of Technology in Computer Science from the Indian Institute of Technology, Roorkee, completed in 2021.
This person is not in any offices
Quantbox Research
2 followers
Quantbox Research is among the fastest growing High Frequency Trading firms in the world today which utilizes advanced mathematics and cutting-edge technology to trade in financial markets across the globe. Founded in 2020 by a team of programmers and mathematicians entrenched in the best of Artificial Intelligence and Machine Learning in the algorithmic trading industry, Quantbox has already established itself among the top 5 HFTs in India in less than a year. Quantbox's highly efficient proprietary trading algorithms and strategies are powered by 25+ years of combined trading experience, meticulous and systematic research and its in-house state-of-the-art low latency infrastructure platform. Their seamless adaptability to any market has been the driving force in Quantbox's rapid growth in very quick time.