Develop, deploy, run, manage, and scale AI and edge solutions on standard hardware with cloud-like simplicity.• Design and develop microservices.• Designed and implemented scheduler to deploy the workload on the edge nodes.• Implemented a distributed lock mechanism to efficiently manage the deployment lifecycle of workloads, ensuring coordination and consistency across microservices.• Implemented Apache Kafka for efficient service-to-service communication, ensuring reliable and scalable message streaming and processing within microservices architecture.• Implemented Server-Sent Events (SSE) to enable real-time data updates in web applications, enhancing user experience with continuous and efficient server-client communication.• Utilized Kubernetes client to automate and manage deployment workflows, including Helm chart deployments, Docker container orchestration, and resource termination.

Worked as JAVA Developer for 3DS products under Payment Security BU for NBI(New Business Initiative)Responsibilities:Owning the features end to end and delivering in stipulated time.Understand the requirement from EMVCO 3DS protocol specification and design solution.Involved in redis implementation.Works with Java/J2EE TechnologiesDeveloped new validation framework using bean validation that enhances the Validation process .

Amelia is a digital workforce. It is a strong and a potential artificial intelligence, built out of machine learning and cognitive technology (self-learning) which is capable of transforming various businesses to digital labor. It can take on a wide variety of business processes and transform customer experience in multiple domains. Just like a human she communicates with customers using natural language.• Implementing Business use cases using the BPMN model• Automating the process using different Scripting languages as in Groovy, JavaScript, and Python.• Training our cognitive agent to understand different means of communication (Speech/Text) using NLP.• Using various integration tools for connecting to third-party systems namely: Apache camel (Spring/Java DSL) Responsible for training models using Passive Aggressive Classifier, Linear SVM, Logistic RegressionResponsible for entity classfication using DNN Classifier, Entity Training, Passive Aggressive Tagger, CRF Tagger, Linear SVM Tagger, DNN TaggerClassified and Optimized text content using various optimizers like Gradient, Adam, RMSProp, CLSTM HierarchicalUsed analytial tool H2O to build , deploy , analyse various machine learning models

TCS BaNCS enables transformation in financial services through a superior and holistic suite of solutions for banks, capital market firms, insurance companies and diversified financial institutions. Each solution in the TCS BaNCS family has been designed to run as a scalable and robust service, fully integrated with existing business models, enterprise infrastructures and technology architectures