About

Harsh Garg is an upcoming software intern at Siemens EDA, with a passion for exploring various technologies, particularly in the fields of electric vehicles, robotics, and finance. He has gained experience working in engineering teams and has been involved in building multiple products from scratch. Currently, Harsh is working as a research intern at Santa Clara University, where he is gaining valuable insights into the research process. He has previously worked as a delegate at the Harvard Project for Asian and International Relations (HPAIR), where he honed his networking and communication skills. Harsh has also completed a two-week intensive summer school program in Quantum Computing and Quantum Machine Learning using Qiskit, provided by IBM Quantum, where he demonstrated applied understanding and comfort with the subject matter. Harsh is a recent graduate from Delhi Technological University (formerly DCE), where he pursued a Bachelor of Technology degree in Electrical and Electronics Engineering. He is well-versed in research and has experience working as a research scientist and in machine learning. With 0.36 years of relevant experience, Harsh is eager to learn and grow as a software intern at Siemens EDA. He is open to exploring new opportunities and is always willing to engage in interesting discussions in his field of interest.