Led development and managed the comprehensive localization of all static content within the CMS Strapi across all the squads company-wide.

Developed highly scalable APIs to handle a substantial load of approximately 2,000,000 weekly calls for campaigns. The system maintains an impressively low failure rate of 0.86%, ensuring robust and reliable performance.Revamped the Cache Refreshing Mechanism, significantly reducing the data update time within the cache from 6 hours to just 15 minutes. This optimization ensures that cached data remains current and minimizes the impact of staleness in the system.Designed and… Show more Developed highly scalable APIs to handle a substantial load of approximately 2,000,000 weekly calls for campaigns. The system maintains an impressively low failure rate of 0.86%, ensuring robust and reliable performance.Revamped the Cache Refreshing Mechanism, significantly reducing the data update time within the cache from 6 hours to just 15 minutes. This optimization ensures that cached data remains current and minimizes the impact of staleness in the system.Designed and developed a micro-service based on a powerful rule engine, enabling personalized campaign recommendations for users based on various input parameters. This sophisticated recommendation system intelligently matches user attributes with campaigns, enhancing user engagement and conversion rates.Achieved a remarkable improvement in policy synchronization throughput by leveraging Kafka. The process of policy sync, which previously handled 16,000 policies per hour, has been dramatically enhanced to process 1,40,000 policies per hour. This substantial 790% increase in throughput ensures timely and efficient updates across the system.Successfully integrated a Dead Letter Queue (DLQ) mechanism into the event processing pipeline, leveraging Kafka's capabilities. This integration delivers superior error tracking and handling, enabling the system to systematically reprocess events that had previously encountered failures during their initial handling, leading to enhanced reliability and fault tolerance. Show less

I spearheaded the initial development and seamless integration of the health address feature into the Back End of the Ayushman Bharat Health Account (ABHA) App at Bajaj Finserv Health. Leveraging Node.js, I efficiently authored tailored services and models within the Strapi Content Management System, utilizing Koa.js as the framework. These custom functionalities were extensively utilized by 4 major teams, with a combined load of 15 transactions per minute per API.Incorporating the… Show more I spearheaded the initial development and seamless integration of the health address feature into the Back End of the Ayushman Bharat Health Account (ABHA) App at Bajaj Finserv Health. Leveraging Node.js, I efficiently authored tailored services and models within the Strapi Content Management System, utilizing Koa.js as the framework. These custom functionalities were extensively utilized by 4 major teams, with a combined load of 15 transactions per minute per API.Incorporating the third-party translation service, Vitra.ai, I orchestrated the translation of English content into regional languages for 9 different locales. This strategic move resulted in an impressive 23% increase in sales across India.As part of my contributions to the health wallet, HealthPay, I successfully implemented a custom-generated QR code system. Additionally, I designed and implemented a robust service capable of processing multiple images and PDFs as input, efficiently producing a final PDF output in the exact order specified by the API.To enhance data synchronization and management, I skillfully integrated Apache Kafka, enabling seamless data flow from the UAT environment to the production environment within the Content Management System.Furthermore, I successfully automated the deployment process of new APIs on Azure APIM service. This automation not only reduced API deployment errors by a staggering 60% but also halved the release cycle, streamlining the overall development and release process. Show less

Problem Setter and Tester.Setting questions and testing their code for the bi-monthly contests. Working to promote coding culture in the college.

I took charge of the development of the user interface using React and facilitated seamless communication with the Back End through REST APIs. As part of this process, I designed an interactive and user-friendly dashboard using React components to provide an intuitive experience to the end-users.For user authentication and security, I successfully implemented OAuth, ensuring a robust and secure authentication mechanism for accessing the application's features and resources.To… Show more I took charge of the development of the user interface using React and facilitated seamless communication with the Back End through REST APIs. As part of this process, I designed an interactive and user-friendly dashboard using React components to provide an intuitive experience to the end-users.For user authentication and security, I successfully implemented OAuth, ensuring a robust and secure authentication mechanism for accessing the application's features and resources.To streamline the deployment and management of machine learning models, I configured pipelines using KubeFlow, a popular open-source platform for deploying, orchestrating, and monitoring machine learning workflows. Additionally, I leveraged Seldon Core, which is an essential component of MLOps, to serve the machine learning models efficiently, making it easier to deploy and manage ML models at scale.In the realm of machine learning, I wrote Python code utilizing the Kubeflow SDK to build and manage machine learning workflows. To further augment model development capabilities, I effectively utilized AWS SageMaker, an AWS service for building, training, and deploying machine learning models.As part of the project's infrastructure, I seamlessly integrated various AWS services like AWS S3 bucket, a highly scalable object storage service, to store and retrieve large volumes of data efficiently. I also incorporated AWS EC2 instances, providing scalable compute capacity to host and manage the application and its associated components.Throughout the project, I demonstrated expertise in both front-end development with React and back-end integration using REST APIs, while also showcasing my proficiency in leveraging advanced tools and services like OAuth, KubeFlow, Seldon Core, AWS SageMaker, AWS S3, and AWS EC2, to deliver a comprehensive and cutting-edge solution. Show less