Luke
Wescott.
Threat Detection Engineer at Sublime Security. I build a blend of ML and detection tools to help prevent bad guys from sending malicious email.
M.Sc AI/ML ✦ Threat Detection ✦ B1 Français ✦ Machine Learning ✦
M.Sc AI/ML ✦ Threat Detection ✦ B1 Français ✦ Machine Learning ✦
LIVING RÉSUMÉ
Luke
Wescott.
Detection Engineer specializing in ML-driven, detection-as-code systems — designing and tuning the detections that catch real threats at global scale. M.Sc in AI & Machine Learning. Off the clock: French lessons, hockey, books, and new music.
LOCATION Vermont
LANGUAGES EN · FR (B1)
GITHUB IndiaAce
LINKEDIN in/luke-wescott
EMAIL lukewescott808@gmail.com
EXPERIENCE
Detection Engineer II May 2025 — Present
Sublime Security
- Bridge the ML and Detection Engineering teams
- Maintain 800+ detection rules for hundreds of global customers
- Help lead and grow the detection team
Detection Engineer Jun 2024 — May 2025
NuHarbor Security
- Built detection-as-code pipelines — +40% threat detection
- Automated detection with Python + SPL — −30% false positives
- Drove detection use cases through threat modeling
- Built proprietary SOC automation tooling — +50% tuning efficiency
EDUCATION
M.Sc — Artificial Intelligence & Machine Learning
Colorado State University Global · Jan 2025 · GPA 3.96
B.Sc — Computer Science
Colorado State University Global · 2023 · GPA 3.9
PythonSplunk / SPLDetection-as-CodeGitOps · CI/CDMachine LearningTensorFlowCloud Security (AWS·Azure·GCP)MITRE ATT&CKAnomaly DetectionEmail AnalysisMicrosoft SentinelLinux
Full résumé →