Udit Gupta

Frontend Software Development Engineer with 3.5+ years of experience building high-performance, scalable single-page React.js applications with TypeScript, working independently and proactively within agile, cross-functional teams of developers, product managers, and designers. Delivered a React 16-to-18 upgrade and Node.js runtime upgrade (v14 to v18) that boosted rendering efficiency by 30-40%, and led a Webpack-to-Vite build migration that cut dev server startup time and shrank production bundles. Experienced in Redux Toolkit and Context API for state management, REST API integration with JWT authentication, and building reusable, well-documented UI component libraries (Storybook) with strong attention to cross-browser compatibility and responsive design.

Comfortable contributing to code reviews, technical planning, and CI/CD workflows (Git, GitHub, Azure DevOps, Docker), with a track record of managing deadlines and ownership with minimal supervision.

Software Development Engineer at CaseFox Legal Billing Software (2022-12 – Present)

• Upgraded the core frontend stack from Node.js v14 to v18 and React 16 to v18, boosting rendering efficiency and cutting load times by 30–40% and unlocking adoption of modern libraries (MUI, Recharts, React Flow).
• Migrated the build pipeline from Webpack to Vite, cutting dev server startup time and shrinking production bundles through code splitting, accelerating deployment cycles.
• Implemented JWT Bearer Token authentication across 20+ internal application pages, ensuring secure and performant data fetching platform-wide.
• Architected global and local state management using Redux Toolkit and Context API, modularizing slices and async logic to improve maintainability and cross-component synchronization.
• Built interactive, data-driven Analytics Dashboards using Recharts, delivering real-time billing insights through responsive graphs, KPI cards, and filterable visualizations.
• Shipped LLM-powered features end-to-end using Retrieval-Augmented Generation (RAG) with a Vector Database (QDrant) on a Python backend, enabling AI-driven document drafting, AI appointment booking, intelligent system search, and context-aware conversational responses.
• Built an automated document summarization service, cutting manual review time for legal documents by combining LLM APIs, vector databases, and Python text-extraction pipelines.
• Implemented internationalization (i18n) using Lingui, supporting dynamic language switching and multilingual user experiences platform-wide.
• Built and documented reusable UI component libraries in Storybook, standardizing the design system and cutting component development time; owned the end-to-end Docker image lifecycle (build, versioning, deployment) across a multi-container environment.
• Mentored and onboarded interns and junior engineers, establishing code standards and framework best practices that accelerated ramp-up.

Bachelor of Technology (B.Tech) – Lakshmi Narain College of Technology (2017 – 2021)