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Vikram Balakrishnan has a diverse work experience in the fields of investment technology, machine learning, and data science. Vikram started their career in 2017 as a Data Science Co-op Associate at Fidelity Investments, where they implemented a Knowledge Graph model for users of the stock screener. Vikram developed a package to mine text from news articles and store the extracted knowledge on graphs, enabling users to query relationships between stocks.

In 2016, Vikram joined Northeastern University as a Graduate Teaching Assistant. Vikram assisted in teaching courses on data mining and machine learning, as well as economic decision making. Their responsibilities included grading exams, assignments, and preparing statistical reports. Vikram also conducted problem-solving sessions and helped students debug coding errors.

Currently, Vikram is working at Loomis, Sayles & Company as an Investment Technology Partner since November 2022. Prior to this role, they served as a Machine Learning Engineer from May 2018 to March 2023. Further details about their roles and responsibilities in these positions are not provided in the structured information.

Vikram Balakrishnan obtained a Bachelor of Engineering (B.Eng.) degree in Electronics and Communication Engineering from Anna University, where they studied from 2011 to 2015. After that, they pursued a Master's Degree in Data Science and Engineering Management from Northeastern University, from 2015 to 2017. Additionally, Vikram also earned a Summer School Certificate in Business Administration and Management, General from The London School of Economics and Political Science (LSE), although the start and end years for this education are not specified.