Kisalaya Prasad
About Kisalaya Prasad
Kisalaya Prasad is a Software Engineer currently working at Two Sigma, specializing in automated modeling. He has a diverse background in software development, having held positions at notable companies such as Google, Amazon, and Robinhood, and holds a Master's degree in Computer Science from Northeastern University.
Work at Two Sigma
Kisalaya Prasad currently serves as a Software Engineer at Two Sigma, a position held since 2022. In this role, Prasad specializes in automated modeling, contributing to the company's focus on data-driven decision-making and quantitative analysis. Two Sigma is known for its innovative approach to technology and finance, and Prasad's expertise in automated modeling aligns with the firm's objectives.
Education and Expertise
Kisalaya Prasad holds a Master of Science (M.S.) in Computer Science from Northeastern University, completed in 2017. Prior to this, Prasad earned a Bachelor of Engineering (B.E.) in Computer Engineering from Maharashtra Institute of Technology, graduating in 2012. Prasad is currently pursuing a Deep Learning Nanodegree at Udacity, which reflects a commitment to continuous learning in the fields of distributed systems and machine learning.
Background
Kisalaya Prasad has a diverse work history in software engineering and research. Prasad began as a Project Trainee at Tata Elxsi in Pune from 2011 to 2012. Subsequent roles included positions at TIBCO Software Inc. and various internships, including at Amazon and Intuit. Prasad also worked as a Research Assistant at Northeastern University in 2016 and 2017, gaining valuable experience in academic research.
Professional Experience
Throughout Kisalaya Prasad's career, various roles have been undertaken, including Software Engineer at Google from 2018 to 2021 and at Robinhood from 2021 to 2022. Prasad also held positions at Amazon as a Software Development Engineer and as a Software Engineer Coop at Intuit. This extensive experience across multiple companies highlights Prasad's adaptability and technical proficiency in software development.
Interests and Work Style
Kisalaya Prasad has a strong interest in distributed systems and machine learning, which informs the approach to software engineering. Prasad prefers working in small teams, focusing on tackling challenging technical problems. This collaborative style fosters innovation and effective problem-solving in complex technical environments.