Working with One drive share point team.

Professional Projects.* Enabled Health Cards payments for Amazon pharmacy insurance flow for US and Canada.* Design and enable PHI compliance for Amazon pharmacy.Roles and responsibilities* Project High-level and low-level design, estimation, and timeline.* Development (Coding, testing, and operational support)* Guiding SDE1 for subcomponents of projects.* Mentor SDE in the team.

This team is responsible for processing all Amazon retail and digital business concessions. I worked in multiple teams Example: Concessions Execution, Concessions Policies and Digital Devices, etc.In 2 years on this team, I got a chance to work on multiple projects like Exception engine, Concessions service as a platform, Concession service deprecation, and Policy migration which helped me understand, how to deal with business complex projects also improve my bias for action and project driving skills. This challenge pushed me to learn new business quickly and also increased my understanding of the concessions workspace and its problems. The team had picked up the task of solving some complex problems like Exception engines, and concession service modernizations, It's helped me to explore, and learn new platform architecturesException engine* Project Summary: System that will suggest the concessions exception as per the customer concessions history and other factors.* Accomplishments: We successfully launched the project in different marketplaces and increased the concession savings by 13.5M in 6 monthsConcessions service modernizations* Project Summary: Concessions services are based on monolithic architecture, which increases the move to production time. We took a goal of Concessions service modernizations* Accomplishments: We re-architecture the concessions service as a micro-service architecture. We build a concessions platform in which any business can build plugins to enable their businessConcessions policies optimization* Project Summary: Concessions is using multiple policies as per the order type and issues. Engines that host these policies were legacy. We need to build the new policy engine and optimize the policies for faster development and execution time* Accomplishments: We built a new policy engine that is customer-friendly and easy to change the policy. This builds multiple tools to complete this migration in a given time duration.

Online return service deprecation* Project Summary: We need to migrate from an online return service to a newer platform-based architecture. Multiple concessions workflows are using ORS API. We need to understand the business logic (Which is complex because of a wide variety of workflows and use cases.) This system is the central system of all Amazon business concessions issuance). Examples of concessions like refund, replacement, and free replacement.* Accomplishments: We can completely deprecate the service within a given time by making multiple biased decisions. We deep-dived into the code, found blast radios for every biased action, and provided data points to our higher management to make the decision.

Kindle Japanese Launch (Amazon)* Project Summary: First time we launched the Japanese book within the all Kindle market with a new enhanced format and features.Word Segmentation enabled Japanese books in the Kindle publishing pipeline. Support vertical reading order in books with ruby and other Japanese-specific tags.* Accomplishments: More than 1M Japanese books are released in the Japanese marketplace. Also, enabled Japanese book conversion in the live pipeline. (100 Books/day). Because of this project, we can launch new Kindle devices in the Japanese marketplace.Kindle page number generation service.* Project Summary: This service is responsible for generating page numbers for Kindle books.Generate page numbers through publisher-provided data, if the publisher is not providing data we will generate page numbers through a bunch of other mechanisms. Multiple Listeners for triggering service. Validation framework for checking generated page numbers accuracy. (It should be more than 95% accurate)* Accomplishments: After the launch of this service we can provide page numbers in 83% of books with more than 95% accuracy.Manual workflow for quality issues.* Project Summary: This workflow will be scheduled for quality issues reported by automation, customers, or any other source. 1. Run automation workflow for book quality validation. 2. Created a manual operator workflow for operators to work. 3. Carry forward issues from the previous revision to the new revision of the book. 4. Reconciliation of the same issues which are reported by multiple resources. 5. Report issues to the publisher.* Accomplishments: We can resolve millions of quality issues that are creating customer impact during the reading of the book as well as we can increase the sale of the books.

Quick Heal Antivirus Update Optimization* Project Summary: The existing system was sending 4 to 5 updates/day with the size of 200 MB/ update. I need to build a fully automated system that will be capable of generating 20 updates per day and the size of the update should be minimal. 1. Implemented Tier-1 Service which will generate the differential update. 2. Test the updates for all virus data sets for validation. 3. Client-side application to fetch and apply updates.* Accomplishments: 1. Update size decreased by 90 percent. 2. Sales increased by 30 percent. 3. Customer satisfaction index increased by 30 percent. 4. Server maintenance cost decreased by 40 percent.Update Manager Data Optimizations.* Project Summary: Update Manager is the application that manages an update process inside the enterprise edition. It downloads an update from the Quick Heal server once and serves all its clients through that update. This manager works as an internal server inside the enterprise. We need to redesign the update manager to manage a minimum amount of data to update all clients.Redesigned and implemented a new Update manager to store minimum data to serve all clients.* Accomplishments: 1. Sales increased by 15 percent. 2. Update time decreased by 10 percent. 3. Customer satisfaction index increased by 10 percent.

Continuous integration and Automation.I designed and implemented a system to reduce the overall development time, increase the visibility and tractability of development work. Automation of C code compilation on 9 different machines and automatic testing of generated binaries on multiple platforms.After that package will be hand over to QA team for manual testing and to thread research and response team for malware verification. When they promote the build, it will be automatically sent to release team where one click update automation system generates the update. After manual approval of release team, update will be uploaded on servers. Released binary symbols will be uploaded on symbol server and binaries will be uploaded on binary server. Also integrated SVN repository for tractability of code commits and Redmine for traceability of issues allocated to developers.Scanner optimizations:Project Summary: Scanner is the module which scans files of system.I worked on scanner performance improvement.1) Scanner caching support: Local caching support to the scanner for performance optimization.2) Scanner whitelisting support: Files, applications and installers whitelisting support to the scanner for performance optimization.