Re-inventing the way people learn, starting with language using AI

Building the World's First Cancer Protection System that helps Improve the Outcomes for Cancer Patients as well Improve their Quality of Life

Led the design and scaling of cutting-edge healthcare infrastructure at Need, built AI/ML based applications, architected multi-cloud infrastructure, and real-time data platforms to revolutionize patient engagement, operational efficiency, and security compliance. Delivered breakthrough solutions that slashed search latencies from minutes to milliseconds, boosted patient onboarding % and enabled multi-factor revenue growth through international expansion. Passionate about driving innovation that empowers clinicians and patients with scalable, secure, and intelligent healthcare technology.

• Helped build a new team from ground zero to multiple Engineers and helped prioritizing the team charter, set up / trained engineers for day-day operations such as – on-call, handling high severity incidents.

• Managed an intern who was successfully able execute their project and has a return offer from Stripe

• Led the scoping, designing and implementation of critical components a new distributed service with an availability SLA of 99.99 % to surface the latest exchange rates more frequently for Stripe users that resulted in $ multi-million savings per year.

• Worked across multiple engineering teams to scope, design and implement an API to surface historical exchange rates for async processing resulting saving of Multiple-thousand-dollar savings per month by reducing FX risk.

• Improved the user experience for Stripe users by onboarding exchange rate providers resulting in an opportunity to improve user experience for up to ~90% of foreign exchange transactions.

• Designed, developing and maintaining a highly scalable, high throughput scheduler that helps different teams across Amazon execute their business logic that handles throughput in order of Multi-Million TPS

• Proposed and Implemented optimizations for a Availability Critical Large Scale System which resulted in ~ $ Multi-Million / Year savings without any down-time

• Designed, developing a large scale, distributed consistency check framework that enabled customer teams across Amazon avoid massive downtimes in their services ( in-order of hours / year )

• Developed a tool to manage and sync issues across JIRA and internal bug reporting tools using Java and JIRA SOAP services.

Decreased the sync time by 40% in comparison with earlier processes defined for the same task.

• Implemented an automation process for summarization of code quality metrics by designing a tool using Java, VBA Scripts, JIRA

SOAP Services. Reduced the time of summation process from 3 hours to ~ 5 minutes