Explified
KIIT University, Bhubaneswar
Full Stack Engineer
Full Stack Engineer with less than a year in web development and cross-platform applications.
Explified
KIIT University, Bhubaneswar
Kolkata, West Bengal, India
Sailaja Suprava Mohanty is an aspiring Software Development Engineer with 10 months of experience in developing web and cross-platform applications. Proficient in React, Node.js, Express, and MongoDB, she has built robust backend systems, optimized UI components, and improved application performance and search visibility. Her project work demonstrates strong capabilities in full-stack development, API integration, and responsive design, preparing her for impactful contributions in software engineering.
KIIT University, Bhubaneswar
Master of Computer Applications
August 1, 2023 – June 30, 2025
Explified
Software Development Engineer Intern
October 1, 2025 – Present
Kolkata, West Bengal, India
UD Studios
Web Development Intern
May 1, 2025 – August 1, 2025
Chennai, Tamil Nadu, India
Slice Now
April 29, 2026 – Present
• Developed a full-stack food delivery app using Next.js, leveraging server-side rendering (SSR) to improve page load speed by 30%. • Automated admin image uploads using Multer; handled 10+ image assets with validation. • Refined the UI with Tailwind CSS to achieve 100% responsive design across devices.
View ProjectParadise Palms
April 29, 2026 – Present
• Engineered a full-stack hotel booking platform with fully responsive UI across devices. • Improved SEO by 30% using semantic HTML, metadata, and structured data for better search visibility. • Increased site performance by 22% through bundle optimization. • Incorporated MongoDB for scalable data management and JWT for secure authentication.
View ProjectNoted
April 29, 2026 – Present
• Created a full-stack blogging ecosystem with secure Google OAuth authentication and scalable image management via Cloudinary. • Used the Gemini API to create a summarization engine, allowing users to generate concise blog overviews. • Boosted API responsiveness by 72% through a Redis caching layer to reduce database load for high-traffic routes. • Reduced initial bundle size by 20% using code splitting and lazy loading for enhanced user experience.
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