Hi — I can answer questions about Sarah’s experience, projects, technical skills, and approach to production AI.
Recruiter overview / Designed for a one-minute reviewDownload résumé
Sarah D / Senior Data Scientist
Production AI with deep cybersecurity context.
Experienced data scientist with a background in security data, machine learning, automation, and enterprise AI. Builds systems from feature engineering and model evaluation through data pipelines, AWS deployment, monitoring, and product feedback.
Target roles / Editable in src/config.ts
Senior Data ScientistSenior Machine Learning EngineerApplied ScientistAI Security EngineerAI Security ResearcherApplied AI EngineerPrincipal AI Technologist
Core strengths
- Security-focused model and feature design
- Production ML and recurring data pipelines
- RAG, semantic search, and knowledge systems
- Technical leadership across AI services
- Operational judgment under real constraints
Production experience
- Phishing detection pipelines for DNS traffic on AWS
- Ensemble modeling with character-level TF-IDF features
- Hourly threat-data ingestion, validation, deduplication, and scoring
- Production RAG chatbot and AI learning services
- OpenSearch and S3 for state, artifacts, and workflows
Cybersecurity experience
- Cisco Talos security engineering, 2016–2023
- Phishing URL and domain detection
- Threat-intelligence data and reporting automation
- DNS, WHOIS, VirusTotal, and DGA signals
- Security-team collaboration and mitigation workflows
Key projects
Technical stack
PythonSQLscikit-learnAWSOpenSearchElastic StackRAGSemantic searchDNSWHOISDockerKubernetes