KAVITHA GANESAN

This project focuses on creating a seamless onboarding process for users across multiple platforms, facilitating device shipment to clinics, and enabling clinicians to register devices to patients. Additionally, it includes a secure user invitation flow that guides individuals through account creation, providing an integrated experience for both clinical staff and patients. The project aims to streamline user engagement, improve device tracking, and enhance overall service accessibility.

Roles and Responsibility

• Independent Contributor and Project Lead: Acted as a primary technical resource on projects, taking ownership of development and architectural decisions, and ensuring high-quality deliverables
• Technology Evaluation and Adoption: Proactively identified and implemented new technologies, such as IBM Boomi, Salesforce, and Auth0, to enhance system functionality and adapt to evolving project needs
• Technical Debt Management: Identified areas for improvement within the system, documented technical debt, and initiated action plans to address issues, and optimize system performance
• Continuous Improvement and Automation: Established CI/CD pipelines to streamline deployments, reduce errors, and enhance system reliability, enabling faster and more consistent software releases
• Monitoring and Reporting: Created an AWS-based monitoring dashboard for tracking system performance, enhancing transparency, and allowing for proactive system management and issue resolution

Technologies Used: Lambda, Nodejs, Typescript, IBM Boomi (Integration), Odata, Olingo, Oracle, ReactJS, AWS, EKS, containers, Cloud watch, Dashboard, SQS, DynamoDB, Salesforce, Auth0, Cognito, Redis Cache, Sync

• Lead Backend Developer: Spearheaded backend development for a mobile application, enabling seamless scanning and purchasing within Woolworth's stores, ensuring functionality across both Android and iOS platforms
• API Design and Development: Collaborated as a key member in designing and developing RESTful APIs to support the mobile app, ensuring high availability, and scalability
• Repository Management and Code Ownership: Acted as the main code commit owner within Git and Azure Repositories, ensuring code quality, version control, and smooth collaboration
• Analytics and Monitoring Design: Developed analytics and monitoring frameworks for backend services, using tools such as AWS CloudWatch and Azure AppInsights, to ensure real-time performance tracking and operational transparency
• Cloud Services Integration: Integrated multiple cloud services and resources, including AWS Lambda, Azure Functions, Cosmos DB, Queue, Service Bus, Event Hub, and Firebase, to extend app functionality and improve operational efficiency
• Backend Technologies and Database Management: Employed Node.js, Express.js, and GCP's PostgreSQL PaaS service for efficient backend processing and data management, alongside Cosmos DB for data persistence.

Technologies Used: APIGEE, Node.js, Azure Functions, Azure App Insights, Azure Queue, Azure Event Hub, ELK, Cosmos DB, PostgreSQL, Apigee Cache, Key Vault

• Experienced in developing innovative Proof of Concepts (POCs) and research projects, including as a senior developer for ChatOps - Hubot for DevOps, an enterprise bot framework designed to streamline workflows with admin approvals and Slack integration
• Key contributor to StackTrace, a microservices tracing and profiling tool that enhances error monitoring, supports analytics for Blue-Green deployments, and tracks business flows across distributed services
• Developed a Jenkins plugin for seamless multi-cloud deployments, enabling robust release management, and enhanced operational visibility
• ACS Xerox Alaska Medicaid Management Information System - The application includes functionalities such as membership registration and management, provider registration and management, setting plans, and administration.

Technologies Used: JAVA Servlets, Postgresql, ELK, Cloud(PCF, IBM BlueMix), Maven, Logging Framework like Log4J, SLF4J, JSF, EJB, Hibernate, JSP, Junit, SQL Server, Hubot, NodeJS, ExpressJS, MongoDB, MEAN Stack, Elastic Search, AWS EC2 Instance, LDAP, CoffeeScript, Nginx