I'm a passionate Full Stack Developer and an aspiring AI Engineer from India 🇮🇳, currently pursuing B.Tech in CSE (AI & ML) at Reva University.
I specialize in building scalable web applications, automation workflows, and AI-driven tools. My philosophy is simple:
Learn. Build. Deploy. Iterate.
I’m actively deepening my expertise in Cloud Computing, Machine Learning, and Product Engineering, with a goal to bridge the gap between AI research and real-world applications.
FluxBase is my most ambitious and next-level project — a web-first, AI-powered data management platform designed to work entirely in the browser but powered by a dedicated on-premise server for ultimate control and privacy.
💡 Key Highlights:
- 🖥️ Dedicated Server Only – cannot run on public/shared cloud. Built for maximum performance & data security.
- 🔄 Hybrid Spreadsheet + Database Client – drag-and-drop table creation, schema editing, and inline data manipulation.
- 🤖 AI-Powered Queries – natural language to SQL conversions for filtering, searching, and data insights.
- 🔐 Privacy-Focused & Self-Hosted – ideal for teams or enterprises needing data sovereignty.
Tech Stack: React, Next.js, TailwindCSS, IndexedDB, Node.js (Dedicated Server), AI API Integrations
| Project | Description | Tech Stack |
|---|---|---|
| GymTrack Lite | SaaS platform for gyms – includes admin dashboard, QR check-in system, real-time analytics, and automated email workflows. | Next.js, Tailwind, Supabase, AWS, Node |
| Member Hub (GymTrack) | Mobile-first PWA for gym members with digital QR ID, class bookings, workout logs, and announcements. | Next.js, Supabase, PWA |
| Superadmin Portal | Centralized control panel for managing multiple gyms, requests, analytics, and platform-wide settings. | Next.js, Supabase |
| AI-Powered Dating App | Modern swipe-based dating app with animated UI, real-time chat, and Supabase-backed authentication. | Next.js, Framer Motion, Supabase |
| AI Chatbot Platform | Full-stack chatbot app with secure login, chat history storage, and Supabase integration. | Next.js, Supabase |
| Barcode + AI Attendance | Face recognition + barcode-based secure check-in. | Python, OpenCV, MySQL |
| Hotel Management App | Hotel billing web app with UPI QR code payments. | HTML, JS, Python |
| Project | Highlights | Tech Stack |
|---|---|---|
| GymTrack Lite (Live Deployment) | Running in production for a real gym with hundreds of check-ins per week. | Next.js, AWS, RDS, Lambda |
| Custom QR Attendance Systems | Built & deployed multiple custom attendance solutions for schools/colleges. | Flask, OpenCV, MySQL |
| Offline Hotel Billing Software | Lightweight desktop app with instant QR generation. | Python, Tkinter |
- 🧠 AI & ML: Expanding into model training, deployment, and MLOps.
- ☁️ Cloud-Native Development: Serverless workflows using AWS Lambda & API Gateway.
- 📱 Cross-Platform Apps: Exploring React Native & Tauri for mobile/desktop apps.
- 🔗 Open Source: Contributing actively and publishing developer-friendly tools.
- 💼 Goal: Become a Full Stack AI Engineer – merging ML models with scalable products.
"If it doesn't automate, optimize, or scale — I'm not interested."