Deepesh Grover — AI Researcher

I’m a Quantitative Trader and Researcher with a strong interest in Quantitative Trading and Machine Learning. Over the last 5+ years, I’ve been actively trading and developing systematic strategies, particularly in High-Frequency and Mid-Frequency Trading. During my academic years, I led several impactful machine learning projects: • Medical Intelligence Applied – An AI-based application designed to help track and manage physical and mental health conditions for the elderly. This project won the Best in Data and Machine Learning award in the AWS Data Exchange Startup Challenge, securing $9,000 in prizes. It was also featured on the AWS Online Tech Talk Channel by the AWS Startup Program team. • Third Eye – A deep learning and computer vision-based solution to help visually impaired individuals navigate their surroundings. This project was selected as a finalist in the OpenCV AI Spatial Competition, one of just 10 teams chosen across Asia, with $3,000 in prizes awarded. I have 5+ years of experience across both HFT and MFT domains, which has solidified my technical and market understanding. Outside of trading and research, I enjoy playing Chess and Poker. Always eager to connect with fellow Quantitative Traders and Researchers.

Stackforce AI infers this person is a Quantitative Trader with expertise in Fintech and Machine Learning.

Location: Sirsa, Haryana, India

Experience: 2 yrs 10 mos