Sai Medhini Reddy Maryada
SDE at Amazon
- Role
- Software Development Engineer at Amazon
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Sai Medhini Reddy Maryada
I’m Sai Medhini, a Software Engineer at Amazon with experience building and supporting…
Experience
Software Development Engineer
Oct 2022 — Present · Bellevue, WA, US
Led development and maintenance of multiple OpenSearch client libraries—opensearch-py, opensearch-php, and opensearch-api-specification—delivering new features, resolving security vulnerabilities, and fostering community adoption. Reviewed 100+ PRs, mentored junior engineers, and created a contributor tutorial video with 2K+ views- Automated API generation pipelines for Python and PHP clients using OpenSearch API specifications, doubling API surface area and test coverage. Built robust CI/CD pipelines via GitHub Actions, ensuring support for 450+ customer-facing APIs with strong backward compatibility guarantees. Introduced YAML-based test runners in opensearch-py to streamline regression testing- Consolidated the Python client stack by merging opensearch-dsl-py into opensearch-py, significantly reducing maintenance overhead. Led the entire migration effort, including porting tests, updating documentation, and planning a seamless developer transition- Delivered full-stack features for the Dashboards Flow Framework using React.js, TypeScript, Redux, and Jest/Cypress. Authored ~90% of test coverage, added key UI components, and fixed critical bugs for a stable and scalable frontend experience- Integrated next-gen OpenSearch UI and implemented support for Amazon OpenSearch Serverless (AOSS) datasources and Neural Sparse Search presets. Led end-to-end delivery, resolved complex versioning challenges, and enabled seamless onboarding for embedding models and LLM workflows- Drove release engineering efforts across open-source, managed service, and private beta releases. Managed pipelines, handled infra setup, and worked directly with beta customers to support ML integration and private infrastructure readiness- Enhanced the OpenSearch Benchmarking Framework by implementing a Client Processing Time metric to isolate client-side latency from total request time, helping diagnose performance bottlenecks in API interactions.
Education
University at Buffalo
Masters , Data Science
JNTUH College of Engineering Hyderabad
Bachelor of Technology
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