Speaker Bio: Hardik is the lead Machine Learning Engineer at qplum - an online investment advisory firm offering A.I. and machine learning based portfolios. His main role involves applying machine learning to optimize various trading strategies. Prior to that, he has worked in the field of high-frequency trading and at Microsoft.



Abstract: While machine learning has been successfully utilized in advancing many technologies, there are some aspects unique to finance that makes it hard to implement machine learning in trading. In this presentation, Hardik will highlight the major pain points that create such hurdles and will also suggest how to address them. Hardik earned his Bachelor's and Master's degree in Computer Science from Indian Institute of Technology, Kanpur.