Part of the Provisioning and Core Services Engineering Division within T-Mobile.* SpringBoot, Maven, Jenkins, MicroServices, Docker, IoT, Azure - Developed MicroServices to orchestrate and provision IoT Devices on T-Mobile Network. - Developed integration systems between Sprint and T-Mobile networks for network subscribers. - Dev Lead : Lead a team of 5. Developed Microservices to orchestrate and communicate with other network nodes to update device capabilities and access to T-Mobile with improved user experience. - Developed cross provisioning nodes to relay information across multiple subnet system to enable network capabilities and migration.- Designed framework for subscriber provisioning to enable 5G network capabilities for valid devices.

* Part of the Simulation's team for Amazon Retail- Worked on creating mock production service to integrate within simulations- Created plugins / extended features to carry out innovation using simulations.- Developed software to simulate inventory supply and control across Amazon. Delivered solutions for successfully enabling simulations across PAN_EU and US scope regions. - Delivered frameworks for enabling data collection to gather asin level data used for predicting inbound network traffic.- Designed and improved data storage, migrated from using traditional NFS systems to use S3 cloud-based solution across the platform improving real time streaming, simulation runtime and latencies

Software Engineer Intern in Medical Image Analysis and Computer Vision; part of the Imaging and Computer Vision Team, Siemens Corporate Research, Princeton Campus.

Member of development team working on DICOM and Linen Management Systems. Backend developer with contributions to image processing and database design modules. Proposed the idea to expedite application development process with the help of open source tools cutting down major part of development time cycle- crucial for a startup. Developed the skills of team management with Agile/Scrum tools.

The aim of the project was to develop a Bisque web application( using the Bisque UCSB open source tool) for an agricultural phenotyping experiment. The project was carried out under the supervision of Prof. Sotirios Tsaftaris, Pattern Recognition Laboratory, IMT Lucca.

Tracking Moving objects from videos obtained from Unmanned Aerial Vehicles(UAV). Designed algorithm and implemented the same in offline using Matlab. Implemented modules in feature detection; Background subtraction; motion estimation; Image registration. Carried under the supervision of Prof. Michael Felsberg, Linkoping University, Sweden.

The aim of the project was to develop a video stabilization algorithm for videos obtained from Unmanned Aerial Vehicle (UAV). Studied state of art algorithms for video stabilizations. Implemented the optical flow based stabilization algorithm and improved upon the algorithm to account for the dynamic nature of UAV videos.The project was carried out at the Aerospace Department , Indian Institute of Science, India.