About

Kush Sharma is a highly skilled C++ Developer with a passion for Crypto HFT. He is currently working as a Software Development Intern at UnitedHealth, where he has generated a GAN-based model to create large samples of high-quality brain MRI. His work has been published in Springer, which is a testament to his expertise in the field. Kush has over 3 years of relevant experience in the industry, during which he has worked with some of the leading companies in the field. He was a Quantitative Research Consultant at WorldQuant, where he developed mean-reverting and momentum-following strategies using statistical tools on technical and fundamental data. He then worked as a Machine Learning Engineer at Fingenesis, where he implemented machine learning and statistical strategies to generate trading signals in live markets. He also reviewed state-of-the-art research work to come up with new strategies for mid-frequency trading. Kush completed his Bachelor of Engineering in Computer Software Engineering from Delhi College of Engineering in 2020. During his time at the college, he gained extensive knowledge in SQL, Python, ML, MongoDB, Software Engineering, Flask, Backend, and Research Scientist. Kush is a highly motivated and results-driven individual who is always looking for new challenges. He is passionate about using his technical skills to solve complex problems and is constantly exploring new technologies to stay ahead of the curve. With his strong technical background and experience in the field, Kush is an asset to any team he works with.