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1 year of experience
I'm a recent MSAI graduate with a head full of AI dreams and a heart set on turning them into reality. I'm captivated by the intricacies of language, and NLP is my playground for exploring how machines can understand and interact with the world through words. I plan to participate in hackathons every chance I get to further hone my problem-solving skills. Ready to dive headfirst into the exciting world of AI, I'm eager to contribute my skills and learn from like minded individuals
Angus Chen is a leader who fosters a culture of trust and is an experienced cybersecurity data scientist known for his ability to connect the dots. As DEFCON Goon and a board member, he contributes to communities and promotes diversity in all its forms. He is also a speaker who shares his knowledge extensively. With over 20 years of hands-on experience, Angus has developed, and implemented data science and deep tech solutions for a wide range of organizations, including MITRE, the Federal Reserve Board, and FINRA. He is a rock climber who looks for projects. He is the Director of Data Science at Binary Defense. He holds an MBA from IESE and a Master's in Applied and Computational Mathematics from Johns Hopkins University. Angus is also certified in CISSP, CCSP, and PMP.

Team Qerberos is committed to revolutionizing the cybersecurity landscape by leveraging cutting-edge LLMs and other AI algorithms to address complex challenges in the field. Our strategy centers on creating solutions that not only advance security protocols but also integrate seamlessly into existing infrastructures. For this hackathon, Team Qerberos have developed prototype LLM models designed for synthetic data creations and deployment across various endpoints—including smartphones, laptops, servers, and IoT devices. This model operates without disrupting current production processes, providing robust, real-time detection of malicious activities with exceptional accuracy. Team Qerberos’ approach ensures that organizations can enhance their security posture while maintaining operational efficiency.
23 Aug 2024