Professional Summary
Passionate Computer Science student specializing in Flutter mobile development, frontend web technologies, and machine learning.
Experienced in building beautiful, responsive mobile applications with Flutter, modern web interfaces with HTML/CSS/JavaScript,
and deep learning models for real-world problems. Proven ability to create user-friendly interfaces, implement complex UI/UX designs,
and deliver high-quality cross-platform applications. Active contributor to open-source projects with a strong focus on
continuous learning and professional growth.
Education
CGPA: 3.59/4.00 | 148 Credits Completed
Student ID: 221-15-6034 | Batch: 61
🏆 Academic Excellence - Perfect 4.0 GPA Courses
✓ Algorithms (A+)
✓ Data Structure (A+)
✓ Operating Systems Lab (A+)
✓ Software Engineering (A+)
✓ Information Security (A+)
✓ Embedded Systems & IoT (A+)
✓ Computer Graphics (A+)
✓ Computer Graphics Lab (A+)
✓ Discrete Mathematics (A+)
✓ Numerical Methods (A+)
✓ Financial Accounting (A+)
✓ Introduction to Biology (A+)
✓ Basic Electronics Lab (A+)
✓ Art of Living (A+)
📚 Key Technical Coursework with Grades
Mobile App Development: B+ (CSE413)
Mobile App Design Lab: A- (CSE414)
Data Mining & ML: B+ (CSE325)
Artificial Intelligence: A- (CSE411)
Database Management: A (CSE311)
Computer Networks: B+ (CSE313)
Web Engineering: A (CSE415)
Web Engineering Lab: A- (CSE416)
OOP (Java): A- (CSE214)
OOP Lab: A (CSE222)
Software Project I: A (CSE226)
Programming & Problem Solving: B+ (CSE122)
Data Communication: B+ (CSE225)
Digital Electronics: B+ (CSE223)
Comprehensive Technical Foundation: Advanced coursework in Mobile Development (Flutter),
Web Engineering, Machine Learning, AI, Database Systems, Computer Graphics, Software Engineering,
Data Structures & Algorithms, Computer Networks, and IoT Systems.
GPA: 5.00/5.00 (Golden A+)
Featured Projects
🎓 CAPSTONE/DEFENSE PROJECT - Grade: 4.00/4.00 (A+) - 6 Credits
Tech Stack: Flutter • Dart • EfficientNetB0 • ResNet101 • TensorFlow Lite • Deep Learning • Computer Vision • Mobile ML
Advanced AI-powered Flutter mobile application for real-time tea leaf disease detection. Implemented and compared two state-of-the-art CNN architectures (EfficientNetB0 and ResNet101) for accurate disease classification.
Features include real-time camera integration, offline on-device inference using TensorFlow Lite, custom preprocessing pipeline,
and user-friendly interface for farmers. The application demonstrates expertise in mobile development, deep learning model deployment,
and practical agricultural technology solutions.
Key Achievements: Successfully integrated multiple pre-trained models, optimized for mobile performance,
implemented efficient image preprocessing, and created an intuitive Flutter UI for non-technical users.
Tech Stack: Python • TensorFlow • Keras • CNN • OpenCV • Image Processing
Developed an advanced deep learning model using Convolutional Neural Networks to detect and classify diseases in tea leaves.
Implemented comprehensive image preprocessing pipeline and data augmentation techniques to improve model accuracy.
The system helps farmers identify plant diseases early, potentially reducing crop losses significantly.
Tech Stack: Python • Machine Learning • Computer Vision • Image Recognition
Built a machine learning-based system for identifying fungal diseases in tea leaves using image recognition and
classification algorithms. Focused on accurate disease identification to enable timely agricultural intervention.
Tech Stack: HTML5 • CSS3 • JavaScript • Responsive Design
Created a full-featured social media interface clone with responsive design and interactive UI elements.
Implemented modern web development practices including CSS Grid, Flexbox, and ES6 JavaScript.
Deployed on Vercel with optimized performance and cross-browser compatibility.
Tech Stack: PHP • MySQL • RESTful API • Backend Development
Developed a server-side web application demonstrating PHP backend architecture, database integration, and RESTful API design.
Implemented secure user authentication, CRUD operations, and database relationships.
Tech Stack: Flutter • Firebase • Dart • Authentication • Real-time Database
Built a complete mobile authentication system with Firebase backend integration. Features include secure user registration,
login functionality, password recovery, email verification, and real-time database synchronization.
Implemented proper state management and error handling.
Tech Stack: Flutter • Dart • Mobile Development • UI/UX
Developed a feature-rich Flutter mobile application with modern UI/UX design patterns.
Focused on smooth animations, intuitive navigation, and responsive layouts across different screen sizes.
Tech Stack: Dart • C++ • Data Structures • Algorithms
Actively solving competitive programming challenges on LeetCode and Beecrowd platforms.
Repository includes solutions to 100+ algorithmic problems covering arrays, linked lists, trees, graphs,
dynamic programming, and advanced data structures.