<> I am a Cybersecurity Enthusiast, Machine Learning Specialist, and Tech Explorer passionate about the intersection of security and technology. I enjoy building scalable applications while developing cybersecurity solutions and threat analysis tools to enhance system protection.

With expertise in Python, C, and C++, I love coding and problem-solving, creating innovative tools that address real-world security challenges. My passion for Machine Learning drives me to apply AI-driven techniques for threat detection, automation, and anomaly analysis.

Currently, I am honing my skills in Full-Stack Software Development, focusing on secure, scalable applications. A quick learner, I thrive on exploring new technologies and continuously improving my expertise in cybersecurity and software development.

Beyond tech, I enjoy traveling, music, and books, always seeking inspiration from different experiences. </>

Reasearch intersted field

Artificial Intelligence

Modern era artificial intelligence research focuses on advancing machine learning algorithms and deep neural networks to develop highly intelligent systems capable of complex tasks, such as natural language processing, computer vision, and decision-making, driving innovation across various industries.

Cyber Security

Cyber security research aims to develop advanced threat detection and prevention techniques, leveraging artificial intelligence, machine learning, and big data analytics to mitigate evolving cyber threats and protect sensitive information from unauthorized access, ensuring the integrity, confidentiality, and availability of digital systems and networks.

Machine Learning

Machine learning refers to the process of designing and developing algorithms that enable computers to learn patterns from data and make predictions or decisions without explicit programming. It involves training models, optimizing performance, and fine-tuning parameters to enhance accuracy and automate complex tasks. The process includes data preprocessing, feature engineering, model selection, evaluation, and deployment to solve real-world problems efficiently.