Projects
A trading model utilizing dynamic weighting and aggregate scoring systems with LSTM networks for financial market prediction and analysis.
Hybrid-LSTM and CNN-LSTM approach for stock and forex price prediction using advanced deep learning techniques.
Comprehensive data mining project focused on healthcare data analysis and pattern recognition for medical insights.
Secure encrypted messaging application built with modern cryptographic protocols for private communication.
A complete two-stage assembler implementation written in ANSI-C, demonstrating low-level programming and compiler design principles.
High-performance multithreaded C++ backup server with concurrent client handling and efficient data management.
Collection of offensive security tools, scripts, and research demonstrating cybersecurity expertise and penetration testing techniques.