Balakrishna Maduru
About Balakrishna Maduru
Balakrishna Maduru is a Principal Engineer at Noodle.ai in India, where he has worked since 2021. He has a background in computer science and engineering, with previous roles at Nokia and HCL Technologies, and specializes in data pipelines and machine learning frameworks.
Work at Noodle.ai
Balakrishna Maduru has served as a Principal Engineer at Noodle.ai since 2021. In this role, he focuses on enhancing system performance and overseeing data pipelines. His responsibilities include fine-tuning these pipelines to ensure optimal functionality. He has been with the company for three years, contributing to various projects and initiatives that leverage artificial intelligence for data-driven solutions.
Previous Experience at Nokia
Before joining Noodle.ai, Balakrishna worked at Nokia as a Research & Development Specialist in Customer Experience Management from 2019 to 2021. During his two years at Nokia, he contributed to projects aimed at improving customer interactions and experiences through innovative technological solutions.
Career at HCL Technologies
Balakrishna began his career at HCL Technologies, where he worked as a Software Engineer from 2010 to 2014. His role involved developing the Royalty Accounting System. This four-year experience laid the foundation for his expertise in software engineering and data management.
Educational Background
Balakrishna holds a Bachelor of Technology (B.Tech.) degree in Computer Science and Engineering from G. Pullla Reddy Engineering College, which he attended from 2007 to 2010. Prior to this, he completed a Diploma in Computer Science at Loyola Polytechnic College from 2004 to 2007. His foundational education also includes attending Sree Swamy Vivekananda English Medium High School, where he achieved academic qualifications in 2004.
Involvement in AHAI Project
Balakrishna is involved in the AHAI (Assert Health Artificial Intelligence) project, which focuses on accessing data from various storage systems, including AWS S3, Azure Blob, and HDFS. He specializes in executing pre-processing frameworks and crafting data pipelines for machine learning models, utilizing complex design patterns for efficient data access and processing.