# Nayan P. > Software Engineer - React, TypeScript, JavaScript, GraphQL | Designing Reliable & Scalable Applications Location: San Francisco, California, United States Profile: https://flows.cv/nayan Innovative Software Engineer with over 4 years of experience in architecting and developing high-performance applications using React, TypeScript, Node.js and GraphQL. Proven ability to enhance development efficiency and significantly improve system performance. Expertise in delivering frontend and backend solutions that elevate user experience, increase scalability, and optimize code maintainability. Passionate about continuous improvement and applying cutting-edge technologies to solve complex challenges. Featured speaker at Single Sprout Tech Talk, Los Angeles: "Vue - A JavaScript Framework". ## Work Experience ### Software Engineer @ Linkta Jan 2023 – Present • Created a responsive frontend with React, TypeScript, and React Router, improving navigation speed and user satisfaction for AI-generated learning roadmaps. • Utilized data fetching and caching with React Query and Axios, enabling real-time updates, reducing redundant network calls by approximately 8%, and improving content delivery and user experience. • Developed custom React hooks to encapsulate reusable logic for API calls, authentication, and state management, enhancing code maintainability and reducing redundancy across the application. • Leveraged Zustand for global state management, reducing re-renders by approximately 9% and improving application performance with lightweight, scalable state handling. • Integrated Material-UI components to ensure styling consistency, improving maintainability and reducing development time with pre-built, customizable components for a cohesive design system. • Built scalable RESTful APIs with input validation and error handling, ensuring data integrity and improving system reliability by reducing invalid requests and enhancing the user experience. ### Software Engineer @ Gap Jan 2022 – Jan 2023 • Architected a system with React and TypeScript using reusable components, increasing development efficiency and improving error visibility in micro-frontends. • Optimized frontend development by integrating Emotion for styling with JavaScript objects, reducing development time and improving code maintainability. • Integrated Apollo GraphQL for React components in-order to retrieve single-query calls and streamline data querying. • Refactored existing JavaScript code to resolve client-impacting bugs, while modularizing the code to enhance reusability and simplify debugging for other developers. • Created customized React components using Emotion styling to provide reusability and testing through Storybook. • Implemented Jest and React Testing Library for unit and snapshot testing, accelerating bug discovery and improving code quality. • Conducted code analysis with SonarQube, identifying critical issues that resulted in 12% cost and effort reductions. ### Full Stack Engineer @ QuellQL Jan 2021 – Jan 2022 • Optimized response process with Redis for server-side cache invalidation, batching calls to handle client requests and retire stale data, improving system performance by 22%. • Integrated LokiJS within a service worker to replace sessionStorage, optimizing client-side caching and reducing load times by 34% for large-scale databases through non-blocking execution. • Utilized GraphQL to implement mutation services in QuellQL, enabling data access (add, update, delete) and completed cache invalidation for queries and mutations to prevent stale data. • Implemented lazy loading and asynchronous offloading, reducing unnecessary re-renders by 29% and client response time by 19%. • Incorporated Jest and integration tests with mock data for add/update/delete mutations, streamlining debugging and ensuring code stability and consistency in server/client-side caching. • Containerized Docker testing images for CI orchestration, preventing erroneous code commits via GitHub and Travis-CI. • Product developed under tech accelerator OS Labs (opensourcelabs.io). ### Mechanical Engineer @ Pegatron Jan 2017 – Jan 2020 • Implemented Solidworks FEA simulation for testing CAD models under particular conditions before fabrication, resulting in durable, enduring parts for intensive machinery while preventing bottlenecks in manufacturing lines. • Performed root cause analysis on a daily basis to identify problems with failed units and applied corrective actions, resulting in a 15% increase in production output volume and higher customer satisfaction with quality control. • Evaluated and tested pneumatic, thermal and electromechanical systems during NPI. ## Education ### Bachelor of Science (BS) in Mechanical Engineering University of the Pacific ## Contact & Social - LinkedIn: https://linkedin.com/in/nparmar1 --- Source: https://flows.cv/nayan JSON Resume: https://flows.cv/nayan/resume.json Last updated: 2026-03-20