Injective Labs
Hrishikesh Murali is a Quantitative Researcher at Injective Labs since February 2023, previously serving as a Quantitative Developer at the same company from May 2022 to December 2022. During this time, Hrishikesh developed algorithmic statistical execution for mean-reversion and worked on futures market-making algorithms utilizing optimal control theory, along with agent-based simulations to analyze high-frequency trading behavior. Additionally, Hrishikesh has experience as a Graduate Teaching Assistant at Columbia University and as an Application Development Associate at Accenture. Prior roles include Machine Learning Engineer at AITS, where Hrishikesh contributed to an open-source Deep Learning compiler, and data science work at Zenkast.com, where a Twitter bot was created to analyze voter sentiment using NLP techniques. Hrishikesh holds a Master of Science in Operations Research from Columbia University and a Bachelor of Engineering in Industrial Engineering from B. M. S. College of Engineering.
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Injective Labs
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Injective Labs is a key contributor to Injective, the blockchain designed specifically for finance. Injective is an open, interoperable network that provides solutions for DeFi developers in a unique way. Injective, which is Cosmos IBC and Ethereum compatible, is a hub for dApps shaping the future of finance. Injective-based applications benefitfrom zero gas fees, secure transactions, and fast transmissions for dynamic scalability.The company aims to create a truly free and inclusive financial system through decentralization.