Arun Kirubarajan

Arun Kirubarajan has a diverse work experience spanning various roles and industries. Arun is currently working as the Co-Founder and CTO of Magna, a digital asset management company. At Magna, they manage a team of over 10 engineers and oversees the management of assets worth over $400 million. Arun has successfully secured funding of $15 million and achieved a valuation of $70 million for the company.

Prior to their current role, Arun worked as a Graduate Researcher at the University of Pennsylvania, where they conducted research on machine learning for language modeling. Arun has published multiple papers in renowned AI conferences and their work has been recognized in MIT Technology Review.

Arun also served as a Course Instructor for Penn's Python course, CIS 192, where they redesigned the syllabus and delivered lectures. Arun contributed to the significant growth of the course and maintained high ratings as an instructor for over 2 years.

Additionally, Arun has experience in the finance industry, having worked as a Quant at Millennium and Vise. At Millennium, they focused on machine learning for algorithmic trading and conducted research on international equities trading strategies. At Vise, they contributed to quantitative analysis.

Arun has also had entrepreneurial experience as the Co-Founder of Catacomb, a machine learning platform for model screening/testing and CI/CD deployments. The platform was built using React, Python, and Kubernetes and had the backing of Wharton.

Furthermore, Arun gained experience in venture capital as the Managing Partner of Dorm Room Fund, where they managed a $10 million early-stage VC fund and led investments. Arun played a crucial role in building research infrastructure and attracting follow-on capital from top funds.

Earlier in their career, Arun worked as a Software Engineering Intern at Foursquare, where they built data streaming solutions using Kafka and PySpark for location analytics. Arun also led the migration of multiple services to a new event logging infrastructure.

Overall, Arun Kirubarajan possesses a strong background in technology, finance, and entrepreneurship, leveraging their expertise in machine learning, software engineering, and venture capital.

Arun Kirubarajan began their education at the University of Pennsylvania in 2017, where they pursued a Bachelor of Applied Science (BASc) degree in Computer Science and Linguistics. Arun successfully completed this program in 2021. Following their undergraduate studies, Arun Kirubarajan continued their education at the same institution to pursue a Master of Science in Engineering (MSE) degree in Computer Science, which they are currently pursuing as of 2021.