Jinadev M

Spearheaded the architecture and end-to-end development of Small Business Deposit Application from scratch using React and Redux Toolkit. Improved initial page load speed by 40% using dynamic imports, lazy loading, and optimized state management. Led the adoption of Generative AI with Retrieval-Augmented Generation (RAG) for internal copilots to assist with component usage and documentation. Conducted feasibility POCs for technology migration as part of Wells Fargo's modernization strategy. Achieved WCAG 2.1 AA compliance through semantic HTML and ARIA practices. Migrated legacy Redux-Saga codebase to Redux Toolkit, reducing boilerplate and enhancing maintainability. Promoted code quality and reliability through TDD, BDD, and structured peer reviews.

Led development of an internal web-based CRUD tool for managing Amazon Connect resources. Built scalable workflows to manage queues, contact flows, routing profiles, and agents. Integrated AWS SDK for dynamic resource configuration with audit logging and role-based access. Reduced AWS operational costs by 80% by optimizing widgets and API efficiency. Delivered a platform used by over 3,000 global support agents. Mentored junior engineers, conducted technical reviews, and championed CI/CD practices.

Led frontend development for a Point-of-Sale solution that expanded to 10+ applications across 7 Latin American countries, supporting thousands of agents. Migrated a large-scale legacy codebase from React 15+ to React 16.8 with hooks, improving performance and cutting defect rates significantly. Delivered dynamic content-driven apps for a major Australian sports broadcaster, integrating Contentful CMS and Apollo GraphQL, enabling real-time content updates. Mentored junior developers across distributed teams, boosting team velocity.

Developed a reusable React component library using Flex and SASS that reduced UI development time by 40% across internal projects. Built a customer-facing React Native app enabling users to securely upload and manage files, improving app engagement metrics by 20%. Implemented backend REST APIs using Phoenix and Elixir, reducing API response time by 35% through optimized queries and data models.