Leading the Fintech vertical in Ninjacart which takes care of payment and lending platform.Building the Reward ecosystem in Ninjacart Implemented automated PR review using Chatgpt integration in the build pipeline.Identifying the bottlenecks in scaling up the platformbuilding the complete observability stack for lending platform

Worked on multiple platform initiatives and enriching the merchant onboarding journey1. Notification platform - unified platform to send notification to multiple channels with configuration. New channels can be plugged into the system2. Reporting platform - platform to generate reports for our customers which is fully configurable, Created a DSL which translates into underlying datasource. Currently supported datasources are : Apache pinot , Amazon Redshift3. Onboarding platform - Created a two way sync between salesforce using cometd and new onboarding service. Designed and implemented a configurable orchestrator which facilitates the communication.4. Self Service platform - Implemeted a ticket management system which is being used in multiple channels to raise issues faced by the customer.5. Modernize the deployment stack using kubernetes in our private data center and implemented observability using loki, mimir and grafana6. Used Graphql for microservice orchestration for the web and mobile clients

Working on the re - architecture of the current system. Designed and Built a new service from scratch for the registration of users in app. Integrated with multiple OTP providers.Did a POC on migrating from Aerospike Enterprise edition to Aerospike Community editionProgramming language : Kotlin, JavaFrameworks : Spring Webflux, Ktor, GuavaCache : RedisSearch Engine: ElasticsearchData Stores : Postgres sql, DynamoDb, Aerospike

Part of the Plutus Org within Zeta, where in we are working for one of the largest bank in India, developing the Payment App using Zeta suitesLanguage : JavaFramework : SpringDatastore: Postgres Technologies/Frameworks used: Java, SpringBoot, Spring batch, Postgresql, Openwhisk (Serverless), Grafana, Prometheus, ELK, Redis

Currently working with Walmart Labs as a Senior Engineer For the Ads platform for Walmart.com. My team specifically work on the catalog requirements of Advertisement platform. We have some batch jobs which is a spark job. Data is stored in hive.We have API's exposed to consumers for creating a set of catalog based on a brand / other facets like categories. This set can be used further for building audiences,reporting. Api's are written using Scala Play framework which uses Mysql as backend and Apache solr for search use cases.Used Akka Streams for creating catalog set, in that we created custom shapes and non linear graphsTech Stack: Scala, Play Framework, Akka Streams , Spark, Mysql, Hive,Apache Solr, Elastic Search

Mainly working in the flagship product of Scalend - Clove.ai, which is basically a data analytics solution for e-commerce merchants. The system connects to different data sources like e-commerce stores like - Magento, Shopify,woo-commerce, payment gateways like PayPal, Braintree, Stripe, google analytics, Google Ads, Facebook Ads. Once the user connects we pull the entire data and then generate some reports. Once connected, the reports are updated every day.My Responsibility includes Architecting and designs the system to handle the high load of data when the user connects, scheduler or batch process which pull the data for merchants on a daily basis and deployments in AWS and Google Cloud. The system was build distributed architectureTech Stack : Java, Spring boot, Spring security, Vue js, Thymeleaf,Jquery, Mysql,Mongo DB.Currently, the entire system is deployed in AWS Implemented Snowplow Javascript,Java and android tracker to collect events generated in applications

Project 1 : Scalend Data Lake :Created a platform where we can ingest data from multiple sources to Hadoop backed system, transform/cleanse the data, run some models on the data in Hadoop, export the results to RDBMS and create a workflow module to schedule all of the above functionalities. Also created APIs using Spring boot to expose all the above-mentioned modules as API.Technologies Used :Java,Spring Framework,Spring Boot,Hadoop,Hive,Kafka,Sqoop,JSP,Jquery, Tomcat8.0Project 2 : Data Lake VisualizationCreated a simple project for one of our clients to do data visualization based on multiple roles, multiple search conditions, and criteria. One more module to add data to the data lake.Technologies used:Spring Boot, Spring MVC, Spring Data, JSP, JqueryProject 3 : Reporting EngineCreated a small portal for us to manage and show reports for our customers, which can be configured.Technologies : Node JS,Express,Jquery,HtmlProject 4 : Essential InsightsCreated a self-service portal where the user can come and register themselves, configure their data sources and start seeing insights about their applications. The application supports Localization as well.Technologies used : Spring Boot, Spring MVC, Spring Data, Spring Security, Spring Mongo, Mongo DB, Thymeleaf, Jquery, Tomcat 8.0Project 5 : Drool ConsultantWorked as drool consultant for one of our clients. Setting up Kie Workbench and Kie Execution Server to create and execute rules, in Wildfly server. Successfully configured rules in workbench, trained clients for setting up the server.Technologies used:Kie Workbench (Open source ), Kie Execution Server (Open source ), Drools, Wildfly.Created Snowplow Wrapper for javascript,Android and Java that can be used to collect events generated.. Setup the entire pipeline for event tracking as described in snowplow

Mainly working in the Enterprise Integration Channel. SOAP and REST web servicesRest APIs with documentation using Spring Boot Application .Worked for one of the US based Insurance company.Tech Stack : Soap Client, XSLT,Java,Spring Boot, Spring Repositories,Mysql

I am part of developing a global sales platform for one of our client MetLife, through which they will be able to sell there policies in a global way pertaining to country specific rules and look. Started with the russia implementation of GSP and later moved on to the US Implementation of GSP.Tehnologies used :1.Spring MVC2.Spring Web Flow3.Java 64. XSLT5.DOJO,6.Ajax,7.ThymeleafResponsible for analysing the requirement and implementing the same.Mentoring the new joiners to pick up the technologies as well as the GSPResponsible for creating Rest and Soap Based Web servicesConsumed SOAP web services created by TPAWas strongly involved in the Salesforce integration with our applicationBasic knowledge of Siteminder.