Showcasing technical expertise across AI/ML, mobile development, parallel computing, and web applications. Each project demonstrates innovative solutions and measurable results.
Diverse portfolio
Deepfake Detector
Python, TensorFlow, React
GitHub available
Developed a Django-based web application to detect deepfakes in images using a combination of deep learning models (Custom CNN, DenseNet201, ResNet50). Achieved 97.12% accuracy and 0.9952 AUC on test data using the custom CNN.
Built an invoice data-extraction tool using LayoutLM (TensorFlow), Django backend, React frontend; converted scanned documents to JSON/XML with 92% accuracy.
Developed a Flutter mobile app with YOLOv5 object detection to identify and sum Euro coins in images (78% accuracy).
Implemented and benchmarked parallel matrix multiplication in C++ using MPI and OpenMP within Docker containers; analyzed performance trade-offs.
Active GitHub profile with multiple repositories showcasing Python automation, web scraping, testing frameworks, and various programming projects. Regular contributions to open source and personal projects.
Deepfake detection with 97.12% accuracy using custom CNN models. Advanced computer vision and deep learning applications.
Cross-platform mobile applications with object detection capabilities. Flutter-based solutions with real-time processing.
High-performance computing solutions using MPI and OpenMP. Performance analysis and optimization techniques.
Python, C++, JavaScript, Dart
TensorFlow, Keras, YOLOv5, CNN
Django, React, HTML, CSS
Docker, Git, GitHub, CI/CD
From AI/ML applications to mobile development and parallel computing, I bring technical expertise and innovative solutions to every project.