Security Analytics & Detection Engineering
Leveraging over a decade of cybersecurity experience with a modern data science skill set to build intelligent, secure systems.
Security Analytics Projects
Attack Triage Classifier
Two-stage classification ensemble from “attack?” to “which kind?”
View Project →EigenFlow Profiler
Using facial recognition approach to identifying attack types in NetFlow data.
View Project →LLM Abuse Detection via GPU Power Telemetry
Classifying adversarial LLM inference sessions using passive GPU hardware telemetry — no prompt content required. AUC ≥ 0.999 across 3,931 labeled sessions.
Experience
Manager ⇾ Sr. Manager ⇾ Director
Cloud Platform Service Provider • Oct 2017 – June 2023
- Recruited, hired, and mentored 3 teams of security engineers & intelligence analysts.
- Created CI/CD pipeline of detections using statistical learning and traditional pattern matching techniques.
- Collaborated across departments to implement secure design reviews.
- Developed internal Intelligence products based off stakeholder input.
- Prototyped and drove implementation of new detections during major security incidents.
- Developed individual and team goals aligning with executive leadership vision
Lead Security Incident Response Engineer
Cloud Platform Service Provider • July 2015 – Oct 2017
- Developed and monitored security dashboards and alerts using SIEM tools.
- Conducted forensic analysis and incident response exercises.
- Automated compliance checks and reporting workflows.
- Led incident bridge calls for major incidents.
Security Operations Center Analyst
Several Large Enterprises • July 2010 – July 2015
- Monitored threats and evaluated SIEM alerts.
- Automated repetitive tasks through Python scripting.
- Mentored entry-level analysts on best practices.
Skills
Programming
- Python
- SQL
- Bash / Command Line
Libraries / Frameworks
- pandas, NumPy
- scikit-learn
- matplotlib, seaborn, Plotly
Visualizations
Education
Online Master of Science in Analytics (OMSA)
Program Info →Georgia Institute of Technology • Expected May 2026
One of the most rigorous and respected online analytics programs in the country, combining statistics, machine learning, and business analytics at scale. Offered jointly by the College of Engineering and the Scheller College of Business.
Relevant Coursework
Machine Learning · Regression Analysis · Data & Visual Analytics · Simulation · High-Dimensional Data Analytics · Applied Analytics Practicum
B.S. in Kinesiology
San Jose State University • 2008
Emphasis in human performance and movement science. Led to an early career interest in physical therapy through applied exercise science.
Contact
I'm always open to connecting! Feel free to reach out via email or LinkedIn.