Anshul Agrawal

Anshul Agrawal has a diverse range of work experience. In 2021, they worked as a Teaching Assistant for the Department of Computer Science at the University of Toronto, teaching foundational concepts of Computer Science and evaluating student reports. Anshul also worked as a Software Engineer at Netcore Cloud, where they implemented a REST API for a bank transaction and fraud prevention app using AWS Lambda and Go. In 2022, Anshul was a Teaching Assistant for CSC209 at the University of Toronto, conducting labs and correcting student assignments, tests, and exams. Anshul also worked as a Research Assistant at the University of Toronto, researching and implementing DCC-GARCH models for covariance prediction and sample path simulation. Additionally, Anshul was an Engineering Analyst at Goldman Sachs, where they researched and integrated API reverse proxies into the existing architecture using Java and Go. In 2023, they will start working as a Software Engineer at Lorica Cybersecurity.

Anshul Agrawal completed their education at two institutions. From 2017 to 2019, they attended Pace junior Science College, where they obtained their HSC degree in science. Following this, they enrolled at the University of Toronto in 2019 and is expected to graduate in 2023 with an Honors Bachelor of Science (BS) degree in Computer Science. In addition to their formal education, Anshul obtained various certifications. In August 2018, they completed the "Master Mathematical Cryptography" course through Udemy. Anshul also acquired several certifications from Kaggle, including "Natural Language Processing" in February 2021, "Deep Learning" in July 2020, "Intro to Game AI and Reinforcement Learning" in June 2020, "Intro to Machine Learning" in June 2020, and "Pandas - Python" in June 2020.