Jitendra K

SDE 2

Nov 2025 - Present • 6 mos

Led a frontend platform optimization initiative across multiple applications and shared libraries to improve performance, bundle size, and developer productivity. Reduced shared first-load JavaScript by 75% (1.03 MB → 262 kB) through deep dependency audits, module boundary refactoring, and removal of cross-feature imports. Reduced production build time by 54% (228s → 104s) by simplifying dependency graphs and improving tree-shaking compatibility across packages. Reduced total parsed bundle size from ~20 MB → ~14 MB by isolating heavy libraries and enforcing modular imports. Performed deep dependency analysis to remove heavy packages (exceljs, pdf.js, pdfkit, lottie, react-draft-wysiwyg) from shared bundles by isolating them behind feature boundaries. Re-architected the internal component library to support granular imports and better tree-shaking, reducing bundle weight across all consuming applications. Redesigned complex UI primitives such as the Slider component using CSS Scroll Snap, replacing JavaScript-heavy scroll logic with native browser behavior for better performance. Introduced feature-level architecture to enforce clearer module boundaries and prevent dependency leakage across modules. Implemented AI-assisted developer tooling using Cursor, creating indexed documentation, development rules, and component references to standardize patterns and speed up onboarding. Worked closely with multiple teams to improve frontend platform scalability and establish performance-focused development practices.

SDE

Mar 2024 - Nov 2025 • 1 yr 8 mos

Took ownership of the MUI + Tailwind design system, building lightweight reusable components and token-based theming now powering 90%+ of new UI across product verticals. Built a recursive rule engine and email-to-task automation system that automatically assigns tasks based on rules, reducing counselor workload by 30% and shrinking turnaround time from multiple days to same-day processing. Architected an AI-powered visa mock interview platform using React, LiveKit, OpenAI, Kotlin, and Python, handling ~100 sessions per day with 4.5/5 user satisfaction and 90% adoption among applicants. Re-engineered the 100k+ course Finder module, introducing context-aware filtering and optimized caching to significantly improve counselor recommendation speed. Delivered multiple complex frontend features while maintaining scalable architecture, reusable components, and high UI performance. Worked closely with product, backend, and design teams to ship pixel-perfect and scalable UI experiences across major product workflows. Earned the “Excellent Performer” award within 4 months for rapid onboarding, strong ownership, and delivery of mission-critical features.