Security Engineer/Software Developer with expertise in optimizing security operations and implementing AI-driven solutions to mitigate risks and enhance system resilience. Skilled in leading vulnerability assessments, improving threat detection, and streamlining incident response processes.
- Master's, Cybersecurity - New York University (2022-2025)
- Bachelor's, Computer Science - CUNY Hunter College (2017-2021)
- Certification, Adverserial Machine Learning - NVIDIA Deep Learning Institute
Developed an enhanced Slack UI for monitoring marketing campaign anomalies with real-time alerts and AI-powered insights. Features include interactive charts, AI-generated explanations, collaborative team feedback, and multi-metric tracking. View Project
Tech Stack: React, Recharts, Lucide React, Tailwind CSS
Co-founder & Lead Developer of a comprehensive Next.js web application for roommate management with features including expense tracking, task management, and real-time chat.
Architected and implemented an advanced CNN-based phishing and fraud detection system using TensorFlow/PyTorch, demonstrating practical applications of deep learning in cybersecurity.
Stay tuned for an exciting visualization tool for SpaceX's Starlink satellite constellation.
- Advanced AI/ML stacks for cybersecurity applications
- Cloud security architecture
- Next.js and modern web development frameworks
- Open-source security tools
- AI-driven threat detection systems
- Innovative web applications
- 📧 Email: es5888@nyu.edu
- 🔗 LinkedIn: linkedin.com/in/ethansam
- 🌐 Portfolio: personal-portfolio-five-taupe.vercel.app
⚡ "Security is not a product, but a process." - Bruce Schneier