About Me
Information Science Engineering graduate with hands-on experience in Android Application Development, Full Stack Development, Firebase, and Generative AI integration. Developed AI-powered applications across healthcare, cybersecurity, sports-tech, and analytics domains using React.js, Node.js, Kotlin, MongoDB, Python, and Firebase. Passionate about building scalable real-world software systems with strong problem-solving and development skills.
Skills & Technologies
Work Experience
Android App Development Intern (GenAI)
Developed Android applications using Kotlin, Jetpack Compose and Firebase. Worked on integrating Generative AI features, Firebase Authentication, real-time database functionality, UI/UX improvements, backend API integration, debugging, testing, and optimization.
Projects
Kreeda-Ankana — AI-Based Sports Ground & Match Organizer
Developed a real-time Android app for sports ground booking and inter-village match organization featuring conflict-safe slot booking with Firebase transactions, offline-first architecture with Room DB synchronization, scalable MVVM architecture, and Firebase Cloud Messaging support. Key features include real-time slot booking, match challenge board, push notifications, and offline synchronization.
CredShield AI — AI-Powered Multi-Account Credit Abuse Detection System
Developed AI-powered fraud detection system using generative AI tools with device and browser fingerprinting, behavioral biometrics, AI-based fraud risk scoring with machine learning, admin dashboard for analytics and monitoring, and VPN/proxy detection via IP Quality Score API. Features include real-time monitoring dashboard and anomaly detection.
MedCentinum AI — Intelligent Health Pathogen Detection & Monitoring Platform
Built AI-powered healthcare platform for disease prediction and pathogen detection with symptom-based prediction models, AI chatbot assistant for healthcare guidance, medical report analysis, health analytics dashboard, responsive UI, secure authentication, and cloud database integration.
Smart 3D Virtual Outfit Try-On Using AI Techniques
Developed AI-based virtual outfit try-on system using Conditional GAN and pose estimation for realistic outfit visualization and improved fitting accuracy enhancing user experience and reducing retailer return issues.
Fitness Tracker Using MERN Stack
Developed full-stack fitness tracker app using MongoDB, Express.js, React.js, Node.js featuring authentication, workout history tracking, REST APIs, responsive dashboard UI, secure login, and workout analytics for cardio and resistance workouts.
Education
Bachelor of Engineering
Information Science Engineering