Anupraj Varma

Software Engineer

Bengaluru, Karnataka, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building scalable web applications.
Proven track record in enhancing UI/UX.
Strong collaboration skills in fast-paced environments.

Stackforce AI infers this person is a Full-Stack Developer specializing in EdTech and SaaS applications.

Contact

anupraj@kroto.one LinkedIn

Skills

Core Skills

React.jsNext.js

Other Skills

APIAmazon Web Services (AWS)Artificial Intelligence (AI)C++Cascading Style Sheets (CSS)DockerExpress.jsFigma (Software)FirebaseGitGitHubHTMLKubernetesLarge Language Models (LLM)MongoDB

About

I’m a full-stack developer who love building scalable and user-friendly web applications. I’ve worked with two startups, Kroto and Material Depot, where I contributed to developing core features, improving performance, and delivering projects under tight deadlines. At Kroto, I focused on creating interactive learning platforms, while at Material Depot, I worked on optimizing product workflows and enhancing UI/UX. I enjoy solving real-world problems through clean code, modern technologies, and continuous learning. Always eager to collaborate, innovate, and grow as a developer.I completed my bachelor's degree in Computer Science & Information Technology from Mahatma Jyotiba Phule Rohilkhand University, Bareilly, India.SkillsLanguages: C/C++, HTML/CSS, JavaScript, TypeScript,Frontend: React.js, Next.js, Tailwind CSS, ReduxBackend: Node.js, Express.js, tRPC, Prisma, WebSockets, REST APIsDatabase: MongoDB, PostgreSQL, Redis, Firebase FirestoreDevOps: AWS, Docker, Kubernetes, CI/CD, GitHub ActionsDeveloper Tools: VS Code, Git, GitHub, Postman, Figma, Mixpanel, Google Analytics

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Kroto

Software Developer @Kroto

Dec 2024 – May 2025 · 5 mos · Bengaluru, Karnataka, India · On-site

I collaborated with my team to fix bugs, implement new features, enhance UI, and redesign multiple pages using Next.js, Typescript and TailwindCSS.
Added ask-query feature on the landing page, enhancing team communication for 300+ users
Implemented lazy loading on 70+ files which save developers time by ~80%
Create an Audience section on the page to facilitate sending event emails to all registered users efficiently
Used React Query, improved invoke time by ~40%
Achieved an 80% increase in user satisfaction by significantly improving app performance through data streaming and advanced frontend features, including pagination, infinite scroll, caching, analytics and auto scroll.

Next.jsTypeScriptTailwindCSSReact QueryReact.js