Vinayak B

Cybersecurity and machine learning enthusiast with hands-on experience in cyber threat intelligence, IoT security, and ethical hacking. Passionate about securing critical systems through research-driven solutions and anomaly detection in IoT networks. Experienced in network scanning (NMAP), OSINT, and cybersecurity analytics, with a strong foundation in penetration testing and secure system design. Currently, I am working on research integrating machine learning for threat mitigation, and I aim to pursue a master’s in cybersecurity to further specialize in offensive security and digital forensics.

Multimodal Tumor Classification using Hybrid Deep Learning and Ensemble Techniques 

• Developed an image classification model using CNN, PCA, and GLCM feature extraction.
• Applied OpenCV for image preprocessing, segmentation, and feature extraction.
• Implemented PCA-based dimensionality reduction to enhance computational efficiency.
• Designed and trained a CNN model using Keras, achieving efficient classification of MRI scans.
• Integrated CatBoost & LightGBM for hybrid classification, improving model performance.

Nextrace: AI-Driven Forensic Intelligence for Encrypted Networks

• Developed an AI-powered forensic intelligence system to detect and analyze drug trafficking patterns across encrypted communication platforms.
• Leveraged NLP and OSINT techniques to uncover hidden networks while ensuring data privacy.
• Designed a privacy-preserving architecture for secure data analysis, enhancing digital forensics capabilities.
• Implemented automated pattern recognition to identify illicit activities with high accuracy.

• Essentials of Ethical Hacking by the EC-Council
• Google Cybersecurity Professional Certificate by Google
• Cognitive Psychology by NPTEL