Data labelling/evaluation
Evaluation of computer codes, text and user prompts on AI platform and labelling them according to classified policy ( Risk rating scale) to optimize a platform security.
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I am an experienced AI/ML model trainer and cybersecurity professional with a strong background in designing, training, and optimizing machine learning models to detect cyber threats and anomalies in large-scale, real-world environments. My expertise includes developing and deploying supervised ML algorithms for network intrusion detection, integrating AI-driven analytics into security tools, and conducting rigorous data annotation and labeling to enhance model performance. I have hands-on experience with Python, R, and various security and cloud platforms, and have contributed to successful projects such as building enterprise SOC centers and implementing cloud SIEM solutions. My work spans domains like cloud security, healthcare data protection, and threat intelligence, and I am committed to leveraging high-quality training data and automation to advance intelligent threat detection and cyber resilience.
Evaluation of computer codes, text and user prompts on AI platform and labelling them according to classified policy ( Risk rating scale) to optimize a platform security.
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