Rudraksh Monga
About Rudraksh Monga
Rudraksh Monga is a Software Engineer Intern and Machine Learning Researcher at the University of Toronto, with a background in computer science and a strong focus on artificial intelligence. He has held various roles in software engineering and machine learning, including positions at UNICEF Canada and a stealth startup, while also pursuing his studies at the University of Toronto.
Work at Intact Financial Corporation
Rudraksh Monga currently serves as a Software Engineer Intern at Intact Financial Corporation. He began this role in 2024 and has been with the company for four months. His responsibilities likely include developing software solutions and contributing to projects that enhance the company's technological capabilities.
Current Role at University of Toronto
Since 2024, Rudraksh Monga has been working as a Machine Learning Researcher at the University of Toronto. In this role, he engages in research activities that focus on machine learning applications, contributing to advancements in the field. His position reflects his commitment to exploring artificial intelligence technologies.
Previous Experience at UNICEF Canada
In 2023, Rudraksh Monga worked as a Software Engineer at UNICEF Canada for three months. During this time, he contributed to software development initiatives aimed at supporting the organization's mission. His experience at UNICEF highlights his ability to apply technical skills in impactful environments.
Educational Background in Computer Science
Rudraksh Monga is pursuing an Honours Bachelor of Science in Computer Science at the University of Toronto, a program he has been enrolled in since 2021 and is expected to complete in 2025. He also holds a minor in mathematics and statistics, which complements his major by providing a strong analytical foundation.
Experience in Machine Learning and Software Development
Rudraksh Monga has gained significant experience in machine learning and software development through various roles. He worked as a Machine Learning Engineer at the Urban Data Centre from 2023 to 2024 and as a Machine Learning Developer with the University of Toronto Machine Intelligence Student Team from 2023 to 2024. These positions allowed him to apply his skills in real-world projects focused on artificial intelligence.