Akshay Shenoy

06/08/2020

• Implement data processing pipelines and workflows that integrate with various data sources, collaborating with cross-functional teams to gather and analyze requirements for the development of AI/ML algorithms to enhance wireless networks for 5G and 6G
• This enabled the successful execution of machine learning demos for upcoming 5G and 6G features at Mobile World Congress (MWC) Barcelona 22/23/24
• Provide technical guidance and mentorship to junior engineers to promote best practices and ensure code quality
• Participate in code reviews, testing, and debugging to ensure high-quality software
• Research and evaluate new technologies and software solutions to enhance the functionality and efficiency of the data platform

05/20/2019 - 08/16/2019

• Designed and developed an estimation based sweeping tool to reduce the number of bsub jobs that are submitted to the LSF cluster in order to reach an inflection point within a given range of parameters resulting in performance gains up to 10x fewer jobs
• Improved the memory prediction tool used to predict memory usage for each bsub job
• Developed a visualization tool to better corelate respective features of SUB6, Millimeter Wave and WIFI configurations based on their memory usage