Aakash Shankar is a software engineer with 8 years of experience building cloud-native systems and enterprise AI agents, currently working on Amazon Quick Suite at AWS in New York. He has a strong background in big-data infrastructure from multiple roles at Cloudera, where he engineered autoscaling and autonomous healing for cloud clusters and contributed to the widely used Cloudbreak project. His hands-on work spans backend services, DevOps, and API design—including custom service configuration endpoints and compatibility fixes for datalake setups—combined with recent experience migrating vector databases and implementing efficient RAG pipelines for a stealth startup. Aakash pairs practical production focus with academic depth as an NYU master’s student and former graduate teaching assistant in application security, and he’s known for shipping observable, resilient systems under operational pressure. Despite a self-deprecating GitHub bio, his track record shows steady ownership of complex distributed systems and search/AI infrastructure.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering - BE Computer Science, Bachelor of Engineering - BE Computer Science at Visvesvaraya Technological University
Master's degree Computer Science, Master's degree Computer Science at New York University
High School Diploma, High School Diploma at CMR Group of Institutions
CDP Public Cloud is an integrated analytics and data management platform deployed on cloud services. It offers broad data analytics and artificial intelligence functionality along with secure user access and data governance features.
Role in this project:
Back-end Developer & DevOps Engineer
Contributions:352 reviews, 72 commits, 78 PRs in 1 year 11 months
Contributions summary:Aakash's contributions focused on adding new parameters and configurations for Impala within the Cloudera Manager (CM) template, specifically related to cloud storage. They introduced a new API endpoint to support custom service configurations, enabling overriding service properties during cluster deployment. The user also worked on resolving issues with custom configurations and introduced API endpoints to detect the presence of Ranger Raz and make it compatible for a datalake setup. The user's contributions show an understanding of both backend services as well as infrastructure configuration through the creation of supporting APIs.
Contributions:1 release, 78 reviews, 126 PRs in 4 months
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Aakash Shankar - Software Engineer at Amazon Web Services (AWS)