Umadevi Madala

Frontend Developer with 4+ years of experience specializing in Vue.js (Vue 2 & Vue 3) and React, building scalable, high-performance enterprise applications. Skilled in component-based architecture design, frontend performance optimization, and contributing to large-scale migration initiatives. Proficient in REST API integration, state management (Vuex, Pinia, Redux), and modern build tools (Vite, Webpack).

Effective collaborator in Agile environments, focused on delivering robust and user-centric solutions.

Frontend Developer at Modak Analytics (2022-02 – Present)

• Delivered 10+ user-facing features in Vue 3, owning the full lifecycle from requirement gathering and functional specification to production deployment
• Contributed to the Vue 2 → Vue 3 codebase migration, modernising the reactivity model and improving bundle performance and long-term maintainability
• Adopted Tailwind CSS as the primary styling framework, achieving a 30% reduction in overall CSS bundle size
• Utilised and customised iView and Element Plus component libraries to accelerate feature delivery while maintaining consistent UI standards
• Implemented SQL Editor UI capabilities including syntax highlighting and real-time query execution feedback for data workflow users
• Conducted systematic root cause analysis on UI and state management defects, substantially reducing the rate of recurring production issues
• Evaluated multiple implementation strategies and recommended optimal approaches based on performance benchmarks and scalability requirements

Frontend Developer at Modak Analytics (2022-02 – Present)

Project: AutoMapper — Intelligent No-Code/Low-Code Data Mapping Platform

• Built React components for an automated schema mapping interface, streamlining column-mapping workflows across enterprise data migration projects
• Developed an interactive visual transformation rule builder enabling users to configure SQL expressions, regex patterns, constants, and join logic without writing code
• Created pre-execution validation screens that proactively surface data-type mismatches and transformation conflicts before pipeline execution
• Applied virtual scrolling and lazy-load patterns to sustain smooth rendering when handling schemas with hundreds of columns
• Coordinated with backend and data engineering teams to align API contracts and ensure reliable end-to-end pipeline behaviour
• Participated in iterative testing cycles, identifying and resolving UI edge cases to improve overall data mapping accuracy

Frontend Developer at Modak Analytics (2022-02 – Present)

Project: ForgeAI — AI-Powered Data Platform

• Designed and built interactive dashboards providing real-time visibility into AI-driven data workflows, enabling faster and more informed decision-making
• Applied route-level lazy loading across 15+ application routes, meaningfully reducing initial page load times for end users
• Resolved event-handling performance bottlenecks using debouncing and throttling techniques, keeping interactions responsive under heavy usage
• Integrated Monaco Editor and CodeMirror to deliver a rich, syntax-aware in-browser editing experience for pipeline configurations
• Built real-time progress UI panels that surface AI reasoning steps with structured output diffs, helping users track and validate generated results
• Managed global application state with Vuex, ensuring a consistent and predictable user experience across complex multi-step workflows
• Partnered with UI/UX designers and backend teams to translate wireframes into responsive, API-integrated production-ready interfaces

Bachelor of Technology in Computer Science – RVR & JC College of Engineering (2018 – 2022)