Ashar Rashid
@asharrashid
Senior Frontend Developer specializing in Next.js and React.js for performant web apps.
What I'm looking for
I am a Senior Frontend Developer with strong expertise in Next.js, React.js and TypeScript, focused on building dynamic, user-friendly interfaces and integrating APIs for seamless functionality.
I have experience designing scalable front-end architectures, applying state management with Redux, and optimizing performance through techniques like code-splitting and lazy loading.
I have worked across Agile teams, contributing to sprint planning, code reviews, and cross-functional collaboration while delivering pixel-perfect, accessible UIs using Tailwind, Styled Components, and modern CSS methodologies.
I am passionate about clean, efficient code and continuously learning modern backend integrations (GraphQL, REST), server-side rendering strategies, and improving Lighthouse scores to enhance user experience.
Experience
Work history, roles, and key accomplishments
Sr. Frontend Engineer
WeUno
Nov 2024 - Present (11 months)
Lead Next.js and React.js front-end development, delivering optimized, scalable TypeScript architectures and improving application maintainability.
Frontend Engineer
Zenyst
Feb 2024 - Nov 2024 (9 months)
Integrated RESTful APIs and GraphQL, built responsive accessible UIs with Tailwind and Styled Components, and ensured seamless front-end/back-end interactions.
Full Stack Developer
INL Lab
Feb 2022 - Feb 2024 (2 years)
Designed and developed scalable Next.js applications, implemented API routes and optimized data fetching (SSR/CSR), and improved performance via code-splitting and lazy loading.
Front-End Developer
Techigator
Feb 2021 - Feb 2022 (1 year)
Developed front-end for multiple web projects, ensuring cross-browser compatibility and optimized website performance across teams.
Education
Degrees, certifications, and relevant coursework
Bahria University
Bachelor's, Artificial Intelligence and Machine Learning
2020 - 2024
Completed a Bachelor's degree with a major in AI and ML, focusing on applied machine learning concepts and related coursework.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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