Technical Skills

- Natural Language Processing (NLP): Transformers, BERT, GPT, Named Entity Recognition (NER), Sentiment Analysis, Text Classification

- Cybersecurity: Threat Detection, Intrusion Detection Systems, Anomaly Analysis, Malware Analysis

- Machine Learning & Deep Learning: Scikit-learn, TensorFlow, PyTorch

- Data Engineering: ETL pipelines, Data Cleaning, Big Data (Spark, Hadoop)

- Programming Languages: Python, Java, Scala

- Security Frameworks & Protocols: SIEM, TLS, SSL, OAuth 2.0

Soft Skills

- Analytical Thinking & Problem Solving

- Cross-team Collaboration

- Agile Methodologies

- Critical Thinking in Security Contexts

- Excellent Communication & Documentation Skills

*Senior NLP Data Scientist | CyberSecure Solutions, San Francisco, CA*

June 2022 – Present

- Led the development of an NLP-powered threat intelligence platform that processes and analyzes over 10 million daily security logs, enabling early detection of emerging phishing campaigns.

- Designed and deployed a real-time anomaly detection system utilizing BERT embeddings, reducing false positives by 30%.

- Collaborated with cybersecurity analysts to enhance intrusion detection systems with AI-driven natural language analysis of threat reports, advisories, and logs.

- Implemented explainable AI techniques to improve model transparency and facilitate compliance audits.

*NLP Engineer | SecureIT Labs, Mountain View, CA*

July 2018 – May 2022

- Developed machine learning models to classify, prioritize, and respond to malicious email campaigns and suspicious network activities.

- Integrated NLP models into existing SIEM tools, automating the extraction of actionable insights from unstructured threat data.

- Conducted research on adversarial NLP techniques to identify vulnerabilities in threat detection systems.

- Published joint paper on "Leveraging Transformers for Automated Cyber Threat Intelligence" at DEFCON 2021.

*Cybersecurity Analyst (NLP Focus) | DataFortress Inc., Palo Alto, CA*

Jan 2016 – June 2018

- Implemented NLP pipelines for analyzing dark web forums and social media for threat intelligence gathering.

- Assisted in developing a threat classification API using NLP techniques, which improved response times to emerging threats.

- Trained team members on applying NLP methodologies for cybersecurity contexts.

**Master of Science in Computer Science**

Stanford University, Stanford, CA

*Graduated 2015*

**Bachelor of Science in Information Technology**

University of California, Berkeley, CA

*Graduated 2013*

- Certified Information Systems Security Professional (CISSP), 2023

- Stanford NLP Specialization, 2024

- Offensive Security Certified Expert (OSCE), 2022

**Threat Intel Bot – NLP-driven Threat Intelligence Automation**

- Developed an AI-powered chatbot that automatically summarizes threat reports, benchmarks alerts, and provides actionable insights to security teams.

- Utilized transfer learning with GPT-4 to generate summaries from lengthy incident reports, increasing analyst efficiency by 40%.

Phishing URL Detection & Analysis System

- Built an NLP classifier using BERT fine-tuning on a dataset of malicious and benign URLs, achieving 95% accuracy.

- Deployed as part of the client’s endpoint security suite, reducing successful phishing attacks by 25% within six months.

- NLP Frameworks: Hugging Face Transformers, spaCy, Gensim

- Data Platforms: Apache Spark, Elasticsearch, Kafka

- Cloud Platforms: AWS (S3, SageMaker, Lambda), Azure Security Center

- Security Tools: Snort, Suricata, Wireshark

- English (Native)

- Spanish (Professional Working Proficiency)