Frontend Engineer - Next.js, TypeScript, RBAC expert

KEVAL PATEL

+91-840******* Vadodara, Gujarat

***********@*****.*** LinkedIn: keval-patel24 GitHub: KevalP24 SUMMARY

Frontend Developer with experience building modern, production-grade web applications using Next.js and Type- Script. Currently working on a stock broker platform, owning complete frontend development including state man- agement, RBAC-based UI flows, and BSE Integration. Focused on delivering scalable, high-performance interfaces with strong attention to usability, reliability, and clean architecture. EDUCATION

Bachelor of Computer Science Parul University CGPA: 8.03 2021 – 2025 Higher Secondary School Alembic School Percentage: 86 2020 – 2021 Secondary School Vidhya Vihar School Percentage: 80 2018 – 2019 SKILLS

Web Development Next.js, React.js, TypeScript, JavaScript, Tailwind CSS, HTML, CSS Frontend Concepts State Management, SSR, RBAC, API Integration, Performance Optimization Tools Git, GitLab, npm, Yarn, Postman, Chrome DevTools Soft Skills Team Collaboration, Adaptability, Problem Solving EXPERIENCE

Frontend Developer Jan 2025 – Present

Adri IT Solutions, Vadodara

• Developed and owned complete frontend for a production-grade stock broker application using Next.js and TypeScript with server-side rendering.

• Designed and maintained scalable frontend architecture with reusable components, dynamic routing, and efficient state management.

• Implemented Role-Based Access Control (RBAC) on the frontend to manage multi-level user permissions and secure feature access.

• Led the BSE module integration, managing frontend workflows, market data visualization, and seamless real- time updates.

• Integrated REST APIs for authentication, authorization, and live financial data, ensuring secure and smooth user flows.

• Optimized application performance and responsiveness across devices through optimized rendering, and UI tuning.

PROJECTS

Car Price Prediction Web App: Developed a machine learning-based web application to predict car prices using features such as brand, model, year, fuel type, and mileage. Performed data preprocessing and model training using Python, scikit-learn, and pandas, and built a user-friendly frontend using HTML, CSS, and JavaScript. Cinemo – Movies Application: Built a movie browsing application using React.js and public APIs to display popular, top-rated, and upcoming movies. Implemented responsive layouts, smooth navigation, and dynamic content rendering for an enhanced user experience.

CERTIFICATIONS

• Udemy Web Developer Certificate

• HackerRank JavaScript Certificate