- Leading the restaurant ecosystem to take it to the next version "Vendor"- Enabling GQL across the company.

- Created Vision for Login (Authentication only) Ecosystem in LinkedIn.- Worked with Microsoft to ensure that both companies had a global vision across.

- Enabled Trust Engineering in LinkedIn working extensively on content quality detection platform which can integrate across different content types handled by LinkedIn. - Created Payment Fraud Detection and Prevention Team in India. This involved high stakeholder management to ensure that right metrics were being tracked and everyone understood the importance of it. It helped in ensuring that the chargeback rate on LinkedIn was in control.- Worked extensively on antivirus and child porn detection capabilities over LinkedIn Images and Video. - Enabled native video content launch on LinkedIn by ensuring the adequate content quality measures were in place.

- Enabled multiple features in Content Quality Detection space like near duplicate detection of Spam content, Nudity Detection in Group Images. These acted as building blocks to ensure smooth and quality content delivery to members. It reduced messaging spam in LinkedIn by 65%. - Worked on a venture bet to enable a Question-Answer experience on LinkedIn. This was the first feature developed completely in India and was launched only on Mobile web and LinkedIn Lite app in India.

- Lead for Sort Center Master System, the main data store of a Sort Center / Delivery Centres of Amazon Logistics to track its capacity and routes. - Designed Ingress Service to reserve the capacity of Sort Centres for an incoming load(set of packages). This is then used to manage labor across the facility.- Worked on capacity/labor management system for Sort Center. It ensured that the sort centres have the required labor strength for the current as well as oncoming orders for sorting.

- Migrated tier 1 service used in carrier/courier assignment systems (QPS >> 1 miilion) from C++ to Java without any drop in availability.- Worked closely with business operations across multiple geographical locations to ensure that Christmas delivery promises are met and order are delivered on time. - Worked on a service logs processing framework to ensure that debugging of operational issues can be done as fast and as smooth as possible.- Worked on multiple integrations and projects with different merchants on the Marketplace Management systems.- Extended the experience of amazon pickup points (generalised ecosystem for Amazon Lockers) to new orgs like CN, IT and ES. - Enabled POS (Point of Sales) ecosystem based off Amazon Locker Backend which can provide location to buy Amazon Gift/Prepaid Cards across Europe.

- Responsible for proper functioning (version control, upgrades and bug fixes) of Company’s Product named ENDURA CGA (used in PVD and CVD process on silicon wafers) and all its supporting software. The backend was in C++ and the front-end is in C#.- Developed a CSV comparator in Python for Software Automation and testing team. This CSV was used for configuring the company machines in the development workflow of silicon chips. - Developed an automated configuration file convertor for ENDURA CGA.- Revised the front-end of regression testing tool. (DJango – Python)