• Architected and implemented a GCP pub/Sub subscriber and consumer module, processing over 1 million messages daily for real-time data utilization.

• Developed Batch Ingestion feature using GRPC, resulting in 60% query speed optimization for the product.

• Implemented code-gen feature with Kotlin and Java to automate HTTP request responses, improving bug-free releases.

Elevated graduation rates by 28% through strategic, data-driven initiatives and personalized student guidance, utilizing Excel analytics and Microsoft Power BI for harnessing the insights.

Orchestrated a remarkable 45% surge in student engagement by strategically crafting and sharing compelling content using Canva and Adobe Express on social media platforms.

Led a cross-functional agile team of 4, executing standard software solutions, designing, and developing an Interactive Voice Response (IVR) system.

Applied Agile methodology, utilizing Vonage APIs and Google Streaming API for Speech Text, resulting in a 40% improvement in customer query resolution speed.

Developed a middle layer for the WhatsApp microservice, addressing user onboarding, language preferences, and terms and conditions.

Implemented JUnit test cases covering 70% of the code base and generated a comprehensive SONAR report for the entire middleware application.

Orchestrated the deployment of the IVR application on AWS cloud, optimizing it through Jenkins for streamlined CICD integration.

Implemented Docker for efficient containerization and deployment of Docker images in AWS S3.

Managed version control using BitBucket and employed Jira for code management and bug tracking.

Engineered a Multi-threaded Spring Boot application with JMS messaging architecture for the IVR, integrating various REST/SOAP Speech-to-Text APIs.

Actively contributed to Agile ceremonies, including sprint planning, daily stand-ups, and retrospectives, fostering a collaborative development environment.

Implemented a caching mechanism to store context, significantly reducing the application server load.

Being consumed by Active AI after completion of cdac, I carry pride in working at the inevitable junction of FinTech and AI.

We, as part of the core product team, introduce new features to Morfeus - a highly scalable and feature-packed middleware orchestration layer, that works in tandem with Triniti - The AI engine, and various Retail Banking modules to provide a seamless automated solution for banks.

I can summarize my top contributions to Morfeus as follows:

1. Expanded product horizon by developing support for social channels like Line, Skype, Skype for Business, Viber, Telegram as well as IoT channels like Google Home and Amazon Alexa,Whatsapp thereby materializing the vision of making the middleware an omnichannel platform!

2. Implemented seamless onboarding experience for user across non-web channel like WhatsApp, Skype, Telegram, Viber.

3. Expanded the scope of IoT channels to support multi-modal support.

4. Successful implementation of data migration scripts for enormous data.

5. Boosted test coverage by 25% TDD adoption(JUnit, Mockito), resulting in a 30% reduction in post-release defects.

6. Incorporated Zendesk and Fresh Chat with Redis Pub-Sub architecture, resulting in a remarkable 97% customer satisfaction upvote.

7.Conducted load testing on the entire product stack using JMeter, resulting in a significant improvement (at least 30%) in the performance of slow APIs.

8.Prepared technical specification documents, interface documents, and high-level design documents using Swagger and Postman API collections.