Harsha Musunuri

Harsha Musunuri is a dedicated MSCS student with a strong focus on Deep Learning, particularly in areas like Computer Vision and Reinforcement Learning. His current research revolves around GAN-Inversion as part of his Thesis.

With an impressive background in completed projects, Harsha has worked on various intriguing Deep Learning projects including an Autonomous car using Deep CNN, VAE-GAN, and Image Captioning with LSTM/Transformers.

Harsha boasts about 4 years of experience in the software industry, having honed his skills in Java, Python, and SQL while working at Citigroup within an agile/scrum setting. His work experience has sharpened his behavioral skills such as Dealing with complexity/ambiguity, Discipline, Consistency, Openness to feedback, Interpersonal Skills, and Leadership.

In addition to his technical expertise, Harsha also enjoys designing and implementing full-stack web applications using technologies like React.js, Node.js, Express.js, and MongoDB.

A music enthusiast, Harsha showcases his passion for music through acoustic covers available on his YouTube channel at https://www.youtube.com/HarshaMusunuri.

Education-wise, Harsha holds a Master of Science (MS) in Computer Science with a focus on Machine Learning from Rutgers University and a Bachelor's degree in Electrical and Electronics Engineering from the National Institute of Technology Tiruchirappalli.

Throughout his career, Harsha has been associated with reputable organizations like Dolby Laboratories as a Deep Learning Researcher, Playform.io as a Deep Learning Engineer, and Citigroup where he held roles including Senior Software Engineer and Software Engineer.