About

Kapil Sharma is an experienced technology professional with over 13 years of experience in the field of AI and Engineering. He is currently working as a Software Engineer at Meta AI, where he is responsible for building AI solutions. Kapil has in-depth knowledge in implementing low latency systems and building ML models. He has also built real-time data pipelines to store and analyze large volumes of high-frequency data. Kapil is adept at programming in C++, Java, Python, and has worked in other languages including C#, Go, Javascript, and Scala. He is a skilled researcher with experience in quantitative analysis, market making, and building ultra-low latency trading systems. Kapil has worked with various financial firms, including Cardinal Capital Management LLC and DV Trading LLC, where he developed machine learning models for interest rate market micro-structure and analyzed tick-to-trade response times to estimate latency and message throughput for HFT strategies. Kapil has conceptualized and built real-time data pipelines to store and analyze high-frequency data with nano-accurate timestamps. He has also developed Python packages to allow other researchers to download, clean, and load tick data in a distributed back-testing environment. Kapil has developed statistical models for price discovery and market-making major cryptocurrencies across multiple exchanges. Kapil holds a Masters in Mathematics of Finance from Columbia University and a B.Tech in Mechanical Engineering (Specialization in Industrial & Production Engineering) from the Indian Institute of Technology, Delhi. His technical skills include AI, Software Engineering, ML, Research Science, Javascript, Python, Scala, Java, and testing. Kapil is a highly skilled professional with a passion for building AI solutions that can make a significant impact in the industry.