I do not have prior data labelling experience
I do not have prior data labelling experience
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While my primary background is in active cybersecurity operations, my daily workflow inherently mirrors advanced data labeling and validation. I spend my time analyzing and classifying massive volumes of SIEM logs and packet captures (PCAPs). This work requires me to meticulously review raw, unstructured data, extract critical features, and accurately classify events as either benign or malicious. In essence, I routinely perform high-stakes data curation and annotation to train my mind—and the security tools I use—to recognize complex threat patterns. I am looking to apply this deep domain expertise to AI training. My experience with network protocols, log schemas, and threat actor tactics (TTPs) allows me to provide high-fidelity labeling and context that standard data annotators cannot. I understand how to identify edge cases, false positives, and adversarial manipulations within data, making me uniquely equipped to train AI models to be both highly accurate and resilient against security exploits.
I do not have prior data labelling experience
I'm currently studying a B.S. IN IT ADMINISTRATION & MANAGEMENT and a Cybersecurity Trainee program at Scitum
My last job at Scitum, here is my resume description: SOC CYBERSECURITY ANALYST | SCITUM Continuous security monitoring