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Yash Vardhan Sharma
ML, Engineering | NimbleEdge | IIT Roorkee'22
About
Yash Vardhan Sharma is an ambitious and driven ML Engineer at NimbleEdge. He is a Bachelor's degree holder in Industrial Engineering from IIT Roorkee, where he is currently pursuing his studies and expected to graduate in 2022. Yash is passionate about AI, Deep Learning, and Evolutionary Algorithms and has gained over 1 year of relevant experience in the field. Yash's current role is as a UG Thesis at the University of Bath, where he is responsible for conducting research and developing innovative solutions to real-world problems. Prior to this, he worked as a Data Scientist at the Data Science Group, IIT Roorkee, where he gained hands-on experience in ML and AI. He also worked as a Surrogate assisted Distributed Swarm Optimization at UNSW, where he developed and implemented algorithms that improved the efficiency of distributed systems. Yash's technical skills include ML, Data Scientist, AI, Deep Learning, and Research Scientist. He is well-versed in programming languages such as Python, Java, and C++. He is a fast learner and is always keen to learn new technologies and tools to stay ahead of the curve. Yash is a highly motivated individual who is always looking for new challenges and opportunities to grow. He is a team player and enjoys collaborating with others to achieve common goals. He is an excellent communicator and is able to explain complex concepts in a simple and easy-to-understand manner. In summary, Yash Vardhan Sharma is a talented and skilled ML Engineer with a passion for AI, Deep Learning, and Evolutionary Algorithms. He has gained valuable experience in the field and is always looking for new challenges and opportunities to grow. With his technical skills, motivation, and team player attitude, Yash is a valuable asset to any organization.
Education Overview
• iit roorkee indian institute of technology roorkee
Companies Overview
• nimbleedge
• university of bath
• unsw
• data science group iit roorkee
Experience Overview
3.2 Years
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