• Using Amazon EC2 as VM, developed an application named BrandDashboard using Dropwizard as framework. It would access channels data from MongoDB and adspot data from MySQL. This application would help clients to know and compare their brands with other brands with respect to tv-spots, ad-viewership and share of voice. Backend of this application was developed using Dropwizard framework. Databases used were Mongo and MySQL.• Worked on Samza Applications like “channel-viewership” and “active-users” to handle real time processing of tv viewership data of users.• Worked on analysis of company’s tv-spot data and the data published by BARC using Druid and AWS DynamoDB.• Developed and worked on various small projects like building API’s to fetch channel data and adspot data from MongoDB and MySQL on Dropwizard framework. These kinds of application would help in aggregating the dataand reducing redundancy since there are many sources of this data.• Was on-call for a week every 2 months and hence worked on monitoring and adding metrics on Graphite Reporterand Grafana. This also gave me experience on fixing applications and real-time processing systems in a limited period of time.

• Using Amazon EC2 as VM, developed a microservice named UserInfo using Netty as framework and AWSDynamoDB as database.• It used GraphQL over REST since there were too many attributes which were not needed all the time. Due to this, the load was reduced which resulted in faster query time.• This microservice was built to aggregate, store and use basic information of users like mobile type, email-id, infoabout first time registration etc. identified by their device-id and advertising-id which would avoid different data about the same user. It could be used by applications to enrich the data about user.

• Developed a conversational chatbot which was created to communicate with users on the platform of Facebook Messenger using Webhook as a mediator between the bot and the messenger.