Sai Rakshith Avadhani M S

Stabilized SharkClean mobile regression suite by refactoring flaky test flows, improving automation pass rate from 40% to 85%. Built Jenkins CI/CD pipeline in Groovy and integrated ClaudeAI via AWS Bedrock for automated test failure analysis.

Optimized test execution framework by configuring Selenium Grid 4 to orchestrate multiple Appium server instances, reducing a 2-hour test suite to 1 hour. Integrated Appium BDD framework with AWS DynamoDB and TestRail, increasing test coverage by 25%.

Designed and implemented a custom event automation tool using Python, Selenium and Appium to validate frontend triggers, eliminating 10 hours of manual effort per bi-weekly release. Engineered a Python-based app performance testing tool using MitmProxy to audit API compression, leading to 40% improvement in response time.

Implemented automation for feature filters on search result page using Rest-Assured, achieving 90% test coverage and leading to the organization's first fully automated feature release. Introduced a Slack bot using Python to track data synchronization issues, reducing manual debugging effort by 3 hours daily.

Grade: 3.81/4

Pursuing a Master of Science in Computer Science at Khoury College of Computer Science with a GPA of 3.81/4. Coursework includes Natural Language Processing, Algorithms, Scalable Distributed Systems, LLM, ML, and MLOps.