Abhiman Panwar

Led the design and development of a performant, server-rendered website and product for a startup, significantly improving search visibility and user engagement.

• Led the design and development of a performant, server-rendered website and product using Next.js and TypeScript for a startup.
• Optimized search visibility and load times by applying comprehensive SEO best practices, including semantic HTML, meta tags, structured data, image optimization, and code splitting.
• Integrated analytics solutions to track user engagement and conversion funnels, providing actionable business insights to stakeholders.
• Designed and implemented a mobile-first, responsive UI with Tailwind CSS, ensuring a consistent user experience across desktop, tablet, and mobile devices.

Contributed to the frontend development of an Enterprise Resource Planning (ERP) system, collaborating with backend teams to integrate web scraping data APIs.

• Contributed to the frontend development of an Enterprise Resource Planning (ERP) system, focusing on modular and scalable architecture.
• Collaborated cross-functionally with backend developers to seamlessly integrate APIs for displaying complex web-scraped data.
• Executed diverse frontend tasks, including UI design, coding, and debugging, ensuring high-quality and functional system components.

Developed the company's entire website using Next.js and TypeScript, achieving a Lighthouse performance score of 90+ and enhancing user experience.

• Developed and launched the company's entire website using Next.js and TypeScript, implementing key features like Strapi CMS, SEO optimization, and a blog system.
• Achieved a Lighthouse performance score of 90+ by implementing advanced code splitting, image optimization, and efficient state management, significantly enhancing user experience.
• Provided comprehensive technical support for website operations, including DNS configuration, hosting management, and rapid troubleshooting of user-reported issues.

A project utilizing Next.js, TypeScript, OpenAI API, and Tailwind CSS to develop a responsive, WCAG 2.1 compliant UI for personalized, real-time travel recommendations.

A privacy-focused, client-side multimedia conversion tool built with React, JavaScript/TypeScript, FFmpeg.wasm, and Tailwind CSS, designed to process image, audio, and video formats directly in the browser.

Completed a comprehensive specialization in Machine Learning, demonstrating advanced knowledge in the field.

Earned a professional certificate in Cybersecurity from Google, validating expertise in cybersecurity principles and practices.