I burned out with internships and needed a break. So I worked on some personal projects, Data Structures and Algorithms, System Design, learning new skills and also started contributing to Open Source.

I joined KoinX, a fast-growing crypto tax and compliance startup, as a Frontend Engineer Intern, I focused on building and optimizing frontend applications.

I worked on customer-facing and B2B platforms while also contributing to the company’s internal UI library. I migrated legacy CRA applications to Vite/TypeScript for faster builds, and optimized the multi-language landing pages by centralizing sources of truth, which improved SEO and page performance. My work helped strengthen the platform’s user experience and developer efficiency, ensuring smoother scaling for global audiences.

I got fascinated with building web apps and web technologies. My first noticeable and actually first React.js project was a result ranking app for my college. I built that app in just 24 hours, although it was my first experience working with React.js, but I was able to complete the project, and batchmates, seniors & juniors were very impressed with the app. During that project I also learnt to scrape websites using nodejs. Although I had no idea about web scraping before that project, nor did I have any experience with any database. I ended up storing data in JSON files and bundled it in the React.js app and deployed that on the Firebase web app.

After that I started learning more about web development and started building more projects. I started getting confident with my skills and started applying for internships. I got my first internship at Textify AI as a SDE Intern.

At Textify, an early-stage AI startup, I played a key role in developing no-code AI tools. I designed and implemented a drag-and-drop AI tool builder that allowed dynamic schema-driven prompt execution, replacing rigid hard-coded applications. I also led the migration of authentication from AWS Cognito to NextAuth for more seamless user/session management, and managed deployments across AWS, Azure, and finally GCP using Docker and Cloud Run. Beyond infrastructure, I contributed significantly to rewriting and stabilizing the legacy codebase, laying the groundwork for scalable product growth.