About

Advait Koparkar is a highly skilled Senior Software Engineer with over 3.69 years of experience in the field. He is currently working at Qualcomm as a Software Engineer - Machine Learning, where he is responsible for developing and implementing Applied ML for Computer Vision and Audio. His expertise lies in algorithms, software engineering, machine learning, computer vision, and research science. Advait has a Master of Science degree in Electrical and Computer Engineering from the Georgia Institute of Technology, where he was a Graduate Research Student at the Multimedia and Sensors Lab. During his time there, he focused on Spatial Attention for better interpretability of CNN classifiers. He also holds a Bachelor of Engineering degree in Electrical and Electronics Engineering from Birla Institute of Technology and Science, Pilani. Prior to his current role, Advait worked as a Software Engineer Intern - Machine Learning at Qualcomm, where he gained valuable experience and knowledge in the field. He has also worked as a Graduate Research Student at the Multimedia and Sensors Lab, where he focused on developing Spatial Attention for better interpretability of CNN classifiers. Advait's technical skills include software engineering, machine learning, computer vision, and research science. He is proficient in a variety of technologies, including CNN, Python, C++, and MATLAB. He is a dedicated and hardworking individual who is passionate about staying up-to-date with the latest advancements in his field. In his current role, Advait is responsible for developing and implementing Applied ML for Computer Vision and Audio. He has a strong understanding of algorithms and is able to apply this knowledge to solve complex problems. He is a team player who is able to work effectively in a collaborative environment. Overall, Advait Koparkar is a highly skilled and experienced Senior Software Engineer who is passionate about his work. He is dedicated to staying up-to-date with the latest advancements in his field and is always looking for new and innovative ways to solve complex problems.