Srinivas Chakravarty

Background

About Srinivas Chakravarty

I am currently working on multiple initiatives my role involves technically architecture customer discussions and setting the expectation for my team. (1) Machine learning initiative for anomaly detection of call flows . We are using unsupervised learning techniques for this project. We have hourly Transaction logs and we have implemented K-means for clustering on the TRL data and used DBSCAN for Anomaly detection. The idea is to anticipate and control. The algorithm found the outliers or noise and we proactively engage the analysis of those and to suggest changes to the process. It can be an operational procedure or a change in specific configuration or improving the test conditions. (2) Unified product catalogue (UPC) - UPC is a centralised catalogue that enables Product managers to create product offers product specification Product pricing and also define product and pricing rules. These products are published to the commercial catalogue. The UPC is developed using micro services architecture in the backend. The frontend is a web frontend. UPC is currently deployed for multiple operators. I have lead this project from concept to realisation. (3) Rakuten Link : I am lead a team of Android iOS and Media engineers for the development of Rakuten Link Application in android and iOS. The team developed the SDK that integrated WebRTC stack for Voice and Video calls a messaging SDK and also the complete user interface in Android and IOS. Both the apps were native application. Both the apps enjoy good rating in the App Store and play store respectively. Refer the following links https://apps.apple.com/jp/app/rakuten-link/id1498877539 https://play.google.com/store/apps/details?id=jp.co.rakuten.mobile.rcs&hl=en_IN&gl=US Rakuten Link is much more than WhatsApp. In addition to providing Messaging Group chats Voice & Video calling etc it provides calls to the telecom numbers.