Raghavendra Rao Suresh Email & Phone Number

California, United States

San Jose, California, United States

• Led the design and implementation of the database architecture harnessing AWS RDS technology, which enabled backend operations for the entire company, ensuring seamless integration of systems and optimizing backend processes.• Deployed automated analysis and batch processing scripts to enable seamless, weekly processing of over millions of records, streamlining data operations efficiently.• Employed PyTorch models to infer additional information about stored records, uncovering previously inaccessible data insights and enriching data analysis capabilities.• Developed and implemented responsive user interfaces with modern front-end technologies, integrating data visualization tools to enhance user experience and effectively present complex data insights.• Adapted swiftly to changing project requirements, embracing agile methodologies, and contributing to the startup’s innovation-driven culture.

- Utilize and enhance theoretical computer science knowledge to provide high-quality academic support to students, aiding them in achieving their educational objectives.- Employ effective teaching methodologies to assist students in understanding complex concepts and subjects, thereby facilitating their academic progress.

Bengaluru, Karnataka, India

- Engineered a comprehensive master script resulting in a 40% reduction in build time by automating the creation of Gradle build files and APKs.- Successfully developed CMake files that led to a 30% increase in build efficiency by simplifying the generation of make/ninja files for Android native libraries.- Pioneered the modularization of essential libraries, yielding an improvement in code maintainability and enabling independent builds for enhanced productivity.

Bangalore Urban, Karnataka, India

- Collaborated with a team of researchers to design and implement an on-device training acoustic machine learning model specifically tailored for Android devices.- Integrated the developed model into the concept of federated learning, introducing a novel approach to acoustic models that leverages distributed learning across multiple devices while preserving user privacy and data security.

Master Of Science - Ms, Computer Science

Bachelor Of Technology - B.Tech, Computer Science