Kartik Chitturi
About Kartik Chitturi
Kartik Chitturi is a Quantitative Software Engineer currently employed at Two Sigma since 2022. He has previously held positions at renowned institutions including CERN, The Voleon Group, and Carnegie Mellon University.
Work at Two Sigma
Kartik Chitturi has been employed at Two Sigma as a Quantitative Software Engineer since 2022. In this role, he applies his expertise in quantitative analysis and software development to contribute to the company's data-driven investment strategies. His work involves developing algorithms and software tools that enhance the firm's analytical capabilities.
Previous Experience at Carnegie Mellon University
Before joining Two Sigma, Kartik Chitturi worked at Carnegie Mellon University as a Course Engineer for a brief period in 2019. His responsibilities included supporting course development and implementation, leveraging his background in computer science and engineering to enhance educational offerings.
Experience at CERN
Kartik Chitturi served as a Research Assistant at CERN from 2016 to 2018. During this time, he contributed to various research projects, applying his knowledge in physics and mathematics to support the organization’s scientific endeavors. His role involved collaborating with researchers and assisting in data analysis.
Role at The Voleon Group
From 2020 to 2022, Kartik Chitturi worked as a Software Engineer at The Voleon Group in Berkeley, CA. In this position, he focused on developing software solutions that supported quantitative trading strategies. His work involved implementing algorithms and optimizing systems for performance.
Educational Background
Kartik Chitturi earned a Bachelor's degree in Mathematics and Physics from The University of Texas at Austin, completing his studies from 2013 to 2018. He furthered his education by obtaining a Master's degree in Computer Science from Carnegie Mellon University, where he studied from 2018 to 2019. His academic background provides a strong foundation for his work in quantitative software engineering.