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Ravinder Nehra is a skilled Core Software Engineer at Tower Research Capital since August 2019, with previous experience as a Research Intern at Adobe in mid-2018, focusing on developing a self-tuning scheduling system using Reinforcement Learning techniques. During a Google Summer of Code project with The Honeynet Project in 2017, Ravinder contributed to the creation of Snare, a web application honeypot. Ravinder holds a Bachelor's degree in Computer Science from the Indian Institute of Technology, Roorkee, completed in 2019.