About

Apoorv Vyas is a highly motivated and self-driven Ph.D. student at EPFL (École polytechnique fédérale de Lausanne) with a strong background in Electronics and Engineering. He has a deep interest in Machine Learning Techniques and allied fields like Computer Vision, Speech Processing. Apoorv has explored a diverse set of projects in machine learning, including commercial detection, music genre recognition, and salary prediction. He is a quick learner, always eager to learn something new each day. Apoorv has excellent research skills and has worked extensively in areas like Machine Learning, Deep Learning, Computer Vision, and Digital Signal Processing. He has worked as a System Engineer at Intel, where he gained valuable experience in research areas related to his interests. He has also worked as an Applications Engineer at Oracle, where he used Application Development Framework (ADF) as the work platform and worked in Sales Forecasting Team. Apoorv has a Bachelor's Degree in Electrical and Electronics Engineering from the Indian Institute of Technology, Guwahati. He completed his schooling from Delhi Public School, where he studied 12th Physics, Chemistry, and Maths. Apoorv has a strong technical background and is proficient in ML, Computer Vision, Deep Learning, and Research Scientist. Apart from his professional work, Apoorv is passionate about music and often goes out for running. He is a highly professional and independent individual who believes in pursuing his interests with full vigor and professionalism, which has yielded excellent results to date. With 8.70 years of relevant experience, Apoorv is a highly skilled and dedicated individual who is always eager to learn and grow.