# Sravanth Kurumaddali

> Staff Software Engineer at Google | Ex-Amazon,Microsoft

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/sravanth

## Work Experience
### Staff Software Engineer @ Google
Jan 2022 – Present | Seattle, Washington, United States

### Engineering Leader @ Amazon
Jan 2021 – Jan 2022 | Seattle, Washington, United States
Leading a team of engineers on a new Greenfield initiative by Amazon. https://www.aboutamazon.com/news/retail/prime-shopping-expands-beyond-amazon-com

### Senior Software Engineer @ Microsoft
Jan 2012 – Jan 2021 | Greater Seattle Area
Azure Storage

-Lead multiple features on Microsoft's distributed cloud storage service. One of the leading storage services across the globe, powering major organizations such as Adobe, T-Mobile, Deloitte and many others and products such as Office365, OneDrive, Xbox, Bing etc.
- Lead a team of engineers to design and implement a highly scalable and reliable resource operation logs offering for Azure Storage which helps customers get logs of transactions executed in their storage accounts in near real time using map reduce architecture processing Petabytes of log data per day. The feature competes against offerings such as AWS Cloud Trail.
- Lead the design and implemented of back-end Data Plane layer for Azure Storage Threat Detection Service which is in early adoption phase with more than 100K customers.
- Designed and developed scalable components in Storage Billing Pipeline which accounts usage for hundreds of millions of dollars across multiple features in Azure Storage.

 Artificial Intelligence and Research Division

- Lead the design and implementation for an experience on Bing.com Home page for software products. Feature has a coverage of nearly ~1% (120M queries per month) of total Bing.com queries.
- Designed and patented personalization service for Cortana Digital Personal Assistant. Responsible for generating user preferences and providing unique user experiences for more than 5 Million customers.
- Developed and patented rich user access pattern identification framework for improving Cortana Personalized User experience based on heuristics.


## Contact & Social
- LinkedIn: https://linkedin.com/in/sravanth-kurumaddali-a2a7ba39

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Source: https://flows.cv/sravanth
JSON Resume: https://flows.cv/sravanth/resume.json
Last updated: 2026-04-12