Quantbox Research
Tejas Khairnar is a quantitative researcher currently employed at Quantbox Research since May 2024, following a tenure at Portofino Technologies where insights were developed as a quantitative researcher specializing in ML Alpha from March 2023 to March 2024. Prior experience includes working as a product engineer in the ML/AI team at Sprinklr, where generative AI-driven machine learning pipelines were developed for over 1000 clients, and as an applied scientist at Amazon focused on enhancing search algorithms for Prime Video. Tejas Khairnar held the position of general secretary at CSEA, IIT Guwahati, responsible for organizing departmental events, and interned at Sprinklr building computer vision models. Academic qualifications include a Bachelor of Technology in Computer Science from the Indian Institute of Technology, Guwahati.
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Quantbox Research
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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.