Mar 2021 – Jul 2025 · 4 yrs 4 mos · Hyderabad, Telangana, India

• Helped build Azure Load Testing from ground up - took it from Private Preview to Public Preview to GA. Worked on Apache JMeter, real-time metrics, storage, encryption, privacy, and so much more.

Jul 2019 – Feb 2021 · 1 yr 7 mos · Hyderabad, Telangana, India

• Working in the TCDA team which is the ​central data store​ for all of Amazon’s transportation data.
• Developing services that provide ​low-latency, high-throughput,permission-based ​​Read and Write API access to ​200+ internal clients.
• Supporting features like ​Indexing, Notifications​ for updates and ​Hourly Data Feeds​ for batch processing.
• Serving as the team’s ​24x7 on-call​ on a rotational basis to respond to any issues in our services.

Jun 2019 – Jul 2019 · 1 mo · Remote

• Grido is a California-based startup working on providing ​intelligent charging and storage solutions for micro-mobility companies.
• Designed and developed, from scratch​, the client-facing web platform with features such as real-time dashboards, account management, customer support and personal messaging.
• Setup the platform on AWS​ solutions including EC2, Lambda, DynamoDB, Route53 and ELB

May 2018 – Jul 2018 · 2 mos · Remote

• Participated in Google Summer of Code for OpenPriting org under The Linux Foundation umbrella. Created a program to check for structural and content errors in common printing file formats such as PWG and CUPS rasters, PDF and JPEG.

May 2017 – Jul 2017 · 2 mos · Remote

• Participated in Google Summer of Code for OpenPriting org under The Linux Foundation umbrella. Created a Common Print Dialog UI library in Qt to provide application developers with a modern, ergonomic and up-to-date print dialog to use in their applications for a great user experience in all printing related tasks.

May 2018 – Jul 2018 · 2 mos · Hyderabad Area, India

• Worked with TCDA team of Core Trans Tech org to create a webservice which automates both new client on-boarding to the team and configuration changes requested by existing clients thus reducing the burden on the team especially during Amazon's peak usage windows.