Swapnil More

• Develop scalable, serverless applications using NodeJS and the Serverless Framework .
• Design and maintain RESTful APIs and microservices for efficient
  backend operations
• Monitor and optimize application performance using AWS
  CloudWatch and Datadog .

• Working on AWS services like Lambda functions, API Gateway, SQS, Redis, Elasticsearch, NodeJS and MySQL to create serverless API's to meet clients requirements for functionality, scalability and performance.
• Reviewed project specifications and designed technology solutions that met or exceeded performance expectations.
• Worked with software development and testing team members to design and develop robust solutions to meet client requirements for functionality, scalability and performance.
• Provided technical support using knowledge of complex technology to solve problems and support new projects.
• Worked with development teams to correct problems and run test scenarios.
• Discussed project progress with customers, collected feedback on different stages and directly addressed concerns.
• Collaborated with management, internal and development partners regarding software application design status and project progress.

MSVgo: The 20-minute study app

• Working on AWS services like Lambda functions, API Gateway, SQS, Redis, Elasticsearch and MySQL to create serverless API's to meet clients requirements for functionality, scalability and performance.
• Worked with project managers, developers, quality assurance and customers to resolve technical issues.
• Trained and mentored junior developers and engineers, teaching skills in Node JS, Elasticsearch and working to improve overall team performance.

Stepapp - Gamified Learning App

• To increase performance and provide better interface of this Educational gamified app, Serverless Api's created using Node JS and Elasticsearch.
• To provide users previous playing data, User History module created using Node JS, Elasticsearch and Redis.
• To give sense to the user about his best score and to know about his rank among all users, who played the same stage of this app, for this Leader Board module is created using on Node JS, Elasticsearch and Redis. (Eg. Providing User progress based on the school and board).

Stepapp - Dashboards

• Created Serverless Api's and queries for visualising different dashboards. (Eg. Master, Principal, Teacher, Student, Parent).
• Created Database structure and Designed queries for different dashboard using Elasticsearch, Mongo DB, Mysql.
• Created Api's in AWS Lambda and API Gateway using Node JS.
• Created Serverless Api's and queries for data visualisation ie. like charts and indicators and also in the form of data tables. Also given an option to download the entire student records in excel format for which also used AWS S3 bucket.
• Written calculation logic for ranking student on the basis of score which they obtained while playing in the app for which also used AWS Elastic Cache.

Hungama Music & Movie App

• To increase performance and to provide best results, for Music & Movie app Api have been created using core php, Node JS, Apache Solr and Elasticsearch.
• Optimised existing Api's and Database for quick response.
• Created Database structure and Designed queries, for Music and Movie app.

Social Trending Dashboard

• Written an Api to Crawled the popular data from three famous Social Media Sectors like Twitter, Google, Youtube.
• Created Api to provide list of most popular trends on daily basis to social network team.

Content dashboard

• Provided provision for manual data Data indexing into Solr database for priority updates For all types of contents.
• Displayed content details and metadata for verification after and before indexing.
  

Music Analytics Dashboard

• To provide best match songs to the user based on his previous history, Recommendation module was created.
• On the basis of streaming history user profile was generated.
• Based on users previous played songs, playlist module was created which provides best playlist to particular user.

Alexa Music for amazon

• Provided Hungama Music content to Amazon Alexa, to get fast response using AWS S3 bucket.
• On the basis of Artist, Ablum, Playlist and Track list Search module was created for Amazon Alexa using Node JS, Apache Solr and Elasticsearch.

Amazon Fire TV

• To insert Data into AWS S3 bucket for Amazon Fire TV, Data Indexing module was created to get faster and better search using Node JS & Apache Solr.