I'm an MCA student (2024–2026) at UBDT College of Engineering, Davangere (VTU), with two industry internships and a strong portfolio of production-grade projects across DevOps, mobile, and full-stack development.
At Vtricks Technologies, I completed a DevOps internship covering the full cloud and CI/CD stack — AWS, Docker, Kubernetes, Terraform, Jenkins, Ansible, Prometheus, and Grafana.
I love building systems that scale intelligently — from containerized microservices on AWS EKS to cross-platform mobile apps with real-time data. My code has touched everything from ML-based deepfake detection to full-stack LMS platforms.
Full-stack e-commerce platform on microservices architecture. Auth, Products, Orders, Payments, and Notifications as individual services. Infrastructure provisioned on AWS EKS via Terraform, containerized with Docker, deployed to Kubernetes behind an Nginx API Gateway. React + Redux frontend.
Full-stack LMS with role-based access for Admins, Trainers, and Students. JWT session auth, course and video management, per-video watch progress. Prisma ORM on PostgreSQL backend; React/Vite/Tailwind frontend with protected routes and dashboards.
Full-featured Flutter eCommerce app — Google Auth, product browsing with category/search/sort filters, wishlist, cart with Provider state management, coupon engine, wallet system with cashback, real-time order tracking (pending → shipped → delivered), and an OpenStreetMap-based live address picker.
Flutter Windows desktop admin dashboard sharing the same Firebase backend as the user app. Full product management (add/edit/delete), real-time order status updates (pending → shipped → delivered), user management with wallet balances, and live Firestore stream-powered UI.
Wi-Fi-based attendance system that auto-detects students on an authorized network using live device scanning. Faculty dashboard for session management, real-time attendance approval, and CSV export.
AI-powered deepfake classifier using an ensemble of deep learning models (XceptionNet, EfficientNet-B4, MesoNet) with FFT frequency analysis and metadata inspection to detect AI-generated media.
Real-time Flutter dashboard integrated with Node.js, PHP, and MySQL to monitor and visualize live IoT sensor data with dynamic charts and a real-time alert system.
Actively seeking DevOps, Cloud, Software Development, and Flutter roles. Immediate joining available. Open to on-site and remote opportunities.
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