Ashutosh Jha

Engineered learning dashboard interfaces using Next.js and Tailwind CSS, boosting active user engagement by 15%. Optimized client-side rendering and asset delivery, cutting page load times by 35% and improving performance. Connected backend REST APIs with React state management to save user data and track student course progress. Debugged 30+ cross-browser compatibility bugs, ensuring consistent layout rendering across mobile devices.

Fit-Track is a wellness platform for logging workouts, setting fitness goals, tracking caloric intake, and visualising progress over time. Built with React, TypeScript, and Tailwind CSS, the platform leverages Clerk authentication and Neon serverless PostgreSQL for a reliable data backend. The AI nutritional insights engine is powered by Google Gemini, giving users personalised recommendations based on their activity data and dietary habits.

Foodie-Frenzy is a full-featured food delivery platform built with the MERN stack. It handles the complete ordering lifecycle — from browsing menus and adding to cart, all the way through Stripe-powered checkout and real-time order status updates. The platform features two separate interfaces: a responsive customer-facing storefront in React and a dedicated admin dashboard for restaurant owners to manage inventory, track orders, and view revenue analytics.

ShortIQ is an AI-powered content automation platform that transforms raw ideas into viral-ready video series for TikTok, Reels, and Shorts. By bridging Google Gemini’s creative scripting with Creatomate’s high-performance rendering, it provides a seamless production engine for building faceless content empires.

Tatva is a modern digital museum and knowledge architecture engineered to preserve and prevent the loss of ancient Indian wisdom. It bridges the gap between ancient Sanskrit scriptures and modern readers by offering a distraction-free, highly structured, and interconnected reading experience for the Vedas, Epics, and Puranas.

Imagify is a complete AI image generation SaaS built with a credit-based monetization model. Users sign up, receive free trial credits, and can purchase additional packages via a secure Razorpay gateway. Each prompt consumes a credit and calls the Google Gemini API to generate a high-quality image. The full-stack MERN architecture handles secure authentication, payment processing, generation history, and a user-facing gallery to browse and re-download past creations.