Aug 2023 – Present · 2 yrs 7 mos

• Azure SQL Hyperscale Elastic Pool - Design and implementation of Elastic Pool for hyperscale database which allowed multiple databases to share the same sql instance, a step towards true multi-tenancy.

Mar 2020 – Aug 2023 · 3 yrs 5 mos

• Azure SQL Hyperscale GeoDR Planned Failover (Project Billion) - Designed and implemented planned failover feature for
• Hyperscale database which will give customers the power to switch role of geo secondary node to new primary without any
• downtime in case any upgradation(hardware or software) is needed in old primary.
• Azure SQL Hyperscale Shrink - Worked on project Shrink which will enable customers to remove unused database pages and
• reduce database size, directly reducing the database service cost being paid by customers.

Aug 2019 – Mar 2020 · 7 mos · Gainesville, Florida Area

May 2019 – Aug 2019 · 3 mos · Greater Seattle Area

• Primary Database Migration - Migrated two tables from MySQL to Amazon’s internal and highly available NoSQL database -
• QLDB for scaling AWS connect tier-1 services. Wrote a service to select the appropriate database at runtime and return the data.
• Polly Voice Integration with Amazon Connect - Integrated AWS custom Polly voice service with AWS connect (cloud-based
• contact center service), and developed UI for onboarding this feature. This enabled AWS connect clients to listen to
• custom-defined human-like voices on their interactive voice response system(IVR). The feature will be launched worldwide.

Apr 2018 – Jun 2018 · 2 mos

• Promise Engine:
• ● Designed and implemented an intelligent system which was responsible for predicting the number of days to deliver a product from source (vendor or warehouse) to the destination (customer).
• ● Prediction accuracy of the engine was around 97%.
• ● I was a highly scalable system, designed to handle 40 million hits in a day.
• Technologies Used: Cassandra, Aerospike, Java, Python, Mysql, MongoDB

Dec 2016 – Mar 2018 · 1 yr 3 mos

• Technology stack: Aerospike, Java, Python, Mysql, MongoDB
• Door Step QC:
• ● Implemented a system which was responsible for doing the quality check at the time of delivery and at the time of return. The main of this project was to avoid false returns by the customers. It helped in reducing the delivery cost of by 20%.
• Courier Holidays:
• ● Developed a system which is responsible for calculating the courier holidays. Different courier has holidays on different days and with the help of this framework, we used to adjust the number of days in which an allocated courier might take to deliver the product. The system was scaled to handle 3000 requests per minute.

Jul 2015 – Dec 2016 · 1 yr 5 mos

• Cache Reload System:
• ● Developed a Spring/Java based framework to forcefully reload JVM cache on all the servers
• Courier Allocation:
• ● Developed an intelligent system which was used to allocate the best and most optimal courier for the delivery of the product to the customer.