About

Ganesh Prasad Nagaraja is an experienced software engineer with over a decade of experience working in various fields of Information Technology. He is skilled in Machine learning and Deep learning at full stack - Concept to Coding, Design to Deployment. With his tenacious programming skills and excellent interpersonal skills, he has demonstrated an exceptional ability to deliver results in challenging environments. Currently, Ganesh is working as an MTS Software System Design Engineer at AMD, where he is involved in the development of AI/ML-based optimization solutions. He is responsible for designing and implementing system software for vision-NLP-RecSys. He is also involved in ideating, designing, and coding innovative solutions that help AMD stay ahead of the competition. In the past, Ganesh has worked as a Senior Chief Engineer at Samsung, where he was responsible for the research and development of NLP algorithms for Samsung's Voice assistant - Bixby. He also developed speech synthesis algorithms for Samsung's Voice assistant - Bixby and worked on a user-adaptive framework for predicting the next application that is most likely to be used and its duration on the foreground. Ganesh has also worked as a Software Engineer at Pace, where he was involved in the development of Set-Top Boxes for French and Portuguese customers Canal+ and ZON, respectively. He was responsible for the development of CDI adaptation layers, kernel configuration, and customization, board bring-up, busy-box configurations, driver integration, and third-party software integration. Ganesh holds a Master of Technology degree in Computer Science from the International Institute of Information Technology Bangalore and a Bachelor of Engineering degree in Electrical, Electronics, and Communications Engineering from RV College of Engineering. He has expertise in AI, NLP, ML, Software Engineering, Deep Learning, Mobile, and Integration. Overall, Ganesh is a highly skilled and experienced software engineer with a proven track record of delivering results in challenging environments. He is passionate about AI/ML and is always looking for new and innovative ways to apply these technologies to solve complex problems.