Andrew Karmele

About Andrew Karmele

With many years of experience in engineering and cybersecurity, I am passionate about leveraging machine learning to enhance security resilience and performance. I hold a master’s degree in cybersecurity engineering from New York University and have multiple certifications in Python and data science. As the Director of Artificial Intelligence at AgileBlue, I am at the forefront of integrating generative AI into our cybersecurity framework, significantly improving threat detection and response capabilities.At AgileBlue, I\'ve created over 50 machine learning algorithms focused on identifying anomalous and rare activities in client environments. My primary responsibilities include the development of machine learning models, automated detection and response capabilities, and the strategic design of client portal features. I am dedicated to delivering critical data to clients and analysts through clear, concise, and impactful visualizations and tools. My expertise lies in modelling/data analysis and translating complex cybersecurity data into actionable insights to ensure optimal security posture and client satisfaction.In addition, my work experience and education in biomedical engineering provide a unique perspective on security challenges. I am proficient in using Python and other tools to troubleshoot, test, and debug systems and devices. As a collaborative, creative, and adaptable team player, I thrive in fast-paced and dynamic environments. I am always eager to learn new skills and technologies and am committed to delivering high-quality, innovative solutions that exceed expectations.

Experience

1. Director of Artificial Intelligence

   AgileBlue

   Jun 2024 — Present · Columbus, OH, US

   Pioneering the integration of generative AI in the cybersecurity framework, enhancing threat detection and response capabilities. This innovative approach is significantly bolstering the system\'s ability to preempt and mitigate cyber threats efficiently.• Created and currently maintaining over 50 machine learning algorithms focused on identifying anomalous and rare activities on host machines, cloud apps, and network devices. This initiative has notably enhanced the capability to detect and respond to sophisticated cyber threats.

Education

• The Ohio State University

  Bachelor of Science (B.S.), Biomedical Engineering

  2016

• New York University - Polytechnic School of Engineering

  Master of Science - MS, Cybersecurity Engineering

Skills

• Biomedical Engineering
• Solidworks
• Mechanical Engineering
• Economics
• Research
• Leadership
• Matlab
• Electrical Engineering
• Statistics
• Arduino
• Microsoft Office
• Sales
• Public Speaking
• Mathematics
• Group Work