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Head of Data Science

• Designed a computer vision feature for the detection and identification of brand impersonation and phishing portals
• Designed a natural language understanding model to perform intent classification and named entity recognition
• Designed malware classifier for detecting malicious macro documents
• Integrated these models into a robust API service, providing seamless access to users with minimal latency
• Conducted rigorous testing to evaluate the effectiveness of the models in detecting cyber threats, achieving high accuracy rates
• Optimized the models to reduce computer resource consumption, enabling them to operate efficiently on millions of emails daily and reducing the cost of computing resources.

Senior Manager, Security Data Science

• Responsible for recruiting and hiring (3x growth in 18 months).
• Sets research agenda by collaborating with cross-functional teams to design product features that leverage machine learning.
• Manages ML projects, including identifying data needs, setting go/no-go performance metrics, and communicating to stakeholders.
• Technical lead of Insights Initiative, an ML-backed approach to improving alert triage experience within the Elastic Security App.
• Focuses research on holistic ML approach (supervised + unsupervised learning) on tailoring detection experience to local environments.
• Researching the use of language models to detect anomalous behavior in event data.
• Built ML service on top of alert feedback data to reduce global false positives by ~40% within 48 hours post-model releases.

Director of Data Science

• Recruited and led a distributed Data Scientists and Engineers team focused on delivering ML features and critical data pipeline enablers.
• Acted as an independent monitor of ML projects to track progress, identify challenges, and present results to key stakeholders.
• Designed and developed Artemis, a natural language interface for querying security event data.
• Developed ML features for a static PE binary malware classifier.
• Designed an Adversarial ML service for tree-based classifiers to discover blind spots and identify potential decay.
• Designed and implemented an Active Learning interface for increasing NLP model efficacy.

Senior Data Scientist

• Designed and implemented a social media collection, analysis, and visualization platform.
• Developed an authorship attribution model for source code attribution.
• Built a model to demonstrate information diffusion within small online communities and predict future propagation

Voice and textual interface for closed-domain environment (US20190088254A1)

Chatbot interface for network security software application (US20210176282A1)

Systems and Methods of Anomalous Pattern Discovery and Mitigation (US20220100857A1)