About

Dhruv Shekhawat is a highly skilled software developer with over 5 years of relevant experience. Currently working at Morgan Stanley, he is responsible for building tools that optimize performance in ultra low latency trading systems. Dhruv's education background includes a Master's degree in Computer Science from Columbia University, where he also served as a Teaching Assistant for Cloud Computing and Big Data. He also holds a High School degree in Science and Maths from Army Public School in Pune. In addition to his current role, Dhruv has also worked as a Software Developer Intern at Morgan Stanley, where he integrated Jupyter with Xpedite - an open-source profiler written in C++/Python for developers to profile and optimize performance of ultra low latency/real-time systems. This project is available on Github for anyone to access. Dhruv's tech stack includes expertise in Software Engineering, Jupyter, Python, and Big Data. He is a quick learner and always eager to take on new challenges. His passion for technology and problem-solving is evident in his work, and he is known for his ability to deliver high-quality solutions in a timely manner. Overall, Dhruv Shekhawat is a talented software developer with a strong academic and professional background. His experience in optimizing performance in ultra low latency trading systems, combined with his expertise in software engineering and Big Data, make him a valuable asset to any team.