Brahm Capoor
About Brahm Capoor
Brahm Capoor is a Software Engineer with a strong educational background in Artificial Intelligence from Stanford University. He co-founded Code in Place and has held various internships and roles at notable organizations including Facebook, Bloomberg, and CERN.
Work at Two Sigma
Brahm Capoor has been employed at Two Sigma as a Software Engineer since 2020. In this role, he contributes to the development and implementation of software solutions within the organization. His work involves applying his expertise in artificial intelligence and software engineering to enhance the company's technological capabilities.
Education and Expertise
Brahm Capoor holds a Master's degree in Computer Science with a focus on Artificial Intelligence from Stanford University, which he completed from 2018 to 2020. Prior to this, he earned a Bachelor of Science degree in Symbolic Systems, also from Stanford University, between 2015 and 2019. His educational background includes a strong foundation in mathematics and sciences, as evidenced by his International Baccalaureate and IGCSE qualifications from United World College of South East Asia.
Background
Brahm Capoor's academic journey began at United World College of South East Asia, where he completed his IGCSE and International Baccalaureate programs. He then attended Stanford University, where he pursued studies in Symbolic Systems and Computer Science. His diverse educational background has equipped him with a comprehensive understanding of artificial intelligence and software engineering.
Internship Experience
Throughout his career, Brahm Capoor has gained valuable experience through various internships. He worked as an NLP Intern at CloudMinds Technologies in 2017, a Software Engineering Intern at Bloomberg in 2018, and a Software Engineering Intern at Facebook in 2019. Additionally, he completed a Summer Internship at CERN in 2014, where he was exposed to advanced research environments.
Teaching Experience at Stanford University
Brahm Capoor has held multiple teaching roles at Stanford University. He served as a CS 106 Section Leader from 2016 to 2018, where he guided students in computer science concepts. He also worked as a Teaching Assistant (TA) for CS 106A in 2018 and later as the Head TA for the same course from 2018 to 2020, contributing to the academic development of students in the program.