Hard Skills

- AI & Machine Learning for Threat Detection

- Behavior-Based Anomaly Detection

- Network Security & Firewall Management

- Threat Intelligence Platforms (Tanium, Recorded Future)

- SIEM & SOAR Integration (Splunk, Palo Alto Cortex XSOAR)

- Penetration Testing & Vulnerability Assessment

- Cloud Security (AWS, Azure Security Center)

- Cryptography & Data Privacy Protocols

Soft Skills

- Analytical Thinking & Problem Solving

- Critical Evaluation & Decision Making

- Cross-Functional Collaboration

- Continuous Learning & Adaptability

- Effective Communication & Documentation

*Senior Cybersecurity Analyst - AI & Threat Detection*

*TechSecure Solutions, San Francisco, CA*

June 2022 – Present

- Led the development and deployment of an AI-powered behavioral analytics framework that reduced false positives in threat detection by 35%.

- Integrated machine learning models within the SIEM environment, enabling real-time identification of insider threats and sophisticated malware.

- Conducted regular threat hunting exercises using AI tools, identifying emerging attack patterns and preemptively blocking potential breaches.

- Collaborated with data scientists and engineers to optimize AI algorithms for accuracy, scalability, and interpretability.

*Cybersecurity Analyst - AI Security Operations*

*InnovateAI Inc., New York, NY*

August 2019 – June 2022

- Managed security operations focusing on AI system vulnerabilities, network security, and AI model integrity.

- Developed custom detection models for phishing campaigns and social engineering attacks, contributing to a 20% decrease in successful breaches.

- Participated in red teaming exercises to test AI defenses, strengthening system resilience against adversarial AI attacks.

- Implemented automated incident response workflows integrating AI insights, shortening response time by 40%.

*Junior Cybersecurity Analyst*

*SecureTech Labs, Boston, MA*

July 2017 – August 2019

- Assisted in continuous monitoring of AI-enabled systems, analyzing logs for suspicious activity.

- Supported vulnerability assessments and penetration tests on cloud-based AI infrastructure.

- Maintained documentation of security controls, incident reports, and compliance audits.

**Bachelor of Science in Computer Science**

XYZ University, Graduated 2017

Focus: Network Security, Data Science, AI Fundamentals

- Certified Information Systems Security Professional (CISSP) – 2023

- GIAC Cyber Threat Intelligence (GCTI) – 2022

- Certified Ethical Hacker (CEH) – 2021

- AWS Certified Security – Specialty – 2024

AI Threat Detection Platform (Open Source Contribution)

Built an open-source machine learning pipeline that analyzes network traffic for anomalous patterns. The model achieved 92% precision and 88% recall in lab conditions, now adopted by multiple small security firms.

Adversarial AI Defense Framework

Designed a defense mechanism against adversarial attacks targeting AI models, incorporating robust training methods and detection overlays, improving AI resilience against manipulation by 30%.

- **Security Platforms:** Splunk, Palo Alto Cortex XSOAR, Tanium, Recorded Future

- **AI & ML Frameworks:** TensorFlow, PyTorch, scikit-learn

- **Cloud Security:** AWS Security Hub, Azure Sentinel, GCP Security Scanner

- **Networking & Protocols:** TCP/IP, DNSSEC, VPNs, IDS/IPS

- English (Native)

- Spanish (Professional Working Proficiency)