Bengaluru, Karnataka, India
Pioneering Agentic AI & Autonomous Systems @ BrowserStack. 🚀 I build high-scale LLM-powered agents and self-healing infrastructure. My work focuses on the intersection of agentic reasoning and distributed systems to automate complex engineering lifecycles. If you’re building in the Agentic AI space or want to talk LLM orchestration, let’s connect. 📩 Reach out: [email protected]
AI Team Architected a real-time Agentic AI engine to autonomously self-heal distributed automation pipelines at scale for the Automate platform across both desktop and mobile platforms. Automate Team Led the core platform infrastructure orchestrating 1.5M daily user's sessions across mobile and desktop devices for various frameworks.
Owned the end-to-end compatibility and performance of major automation frameworks (Playwright, Cypress, Puppeteer) on BrowserStack’s cloud infrastructure. Solved complex synchronization and stability challenges for 100k+ daily sessions, driving significant improvements in execution speed and success rates. Managed the underlying integration architecture, balancing rapid feature deployment with the rigorous uptime requirements of a global device farm.
Created test scripts to check page health and test end to end automation for Dell's webpages in 28 countries. Created web services to generate scan reports based on the test results.
Created web services for accessibility scan reports of Dell's websites. Scored the generated reports to provide a high level overview to the developers so that they can achieve WCAG2.0 AA compliance for their websites.
Developed IREGNET, an R library for survival analysis using elastic-net regularised accelerated failure time models. Fixed the cross validation method implemented, fixed the coordinate descent solver making sure that the optimal solution is achieved, created detailed documentation for the package, increased test coverage and fixed the failing unit tests to get the package ready for publication. Summary: https://github.com/theadityasam/GSOC2019?tab=readme-ov-file#summary-of-gsoc2019