Professional Work

Senior ML/AI professional with 10+ years building production systems across cybersecurity, satellite communications, and data analytics. Currently leading agentic AI initiatives and shipping ML-powered detection systems at CrowdStrike, protecting millions of endpoints worldwide.

CrowdStrike — Highlights

Agentic AI Initiative

Leading one of CrowdStrike’s agentic AI initiatives, driving innovation in autonomous AI systems for cybersecurity defense.

ML-Powered Detection Scoring

DS lead for ML-powered detection scoring system — AI-powered risk scoring feature in Falcon Next-Gen SIEM, now in production.

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USB Exfiltration Detection

First production ML model for Data Protection — USB exfiltration detection shipped in Falcon Device Control.

Source Code Classification Pipeline

Reduced ML model training time from 227 hours to 6 hours using TensorFlow, Rust, and AWS EC2 GPU instances.

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Cloud Workload Anomaly Detection

Research challenging containerized workload predictability assumptions, analyzing billions of container events.

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7 Pending Patents

Seven pending patents in Machine Learning and Cybersecurity, spanning detection systems, data pipelines, and AI-driven threat analysis.

Previous Roles

Viasat — Senior Data Scientist

  • Global Demand Model: identified 2M new target communities from 1B+ data points using unsupervised ML and geospatial analysis
  • Network planning optimization via linear programming (18% capacity increase)
  • XGBoost model for rural internet speed prediction deployed across Mexico, Brazil, and Nigeria

Teradata — Software Engineer

  • Full-stack development on NextGen BI platform (TypeScript, Node.js, Java)
  • 1st Prize at Teradata Analytics Hackathon (2017)

Technical Skills

ML / AI

  • Supervised & Unsupervised ML
  • GenAI & LLMs (LangChain, HuggingFace)
  • Graph ML (PyG, NetworkX)
  • NLP (Deep Learning, Transformers)
  • Time Series Analysis
  • PyTorch, TensorFlow, Scikit-learn, XGBoost

Data Engineering

  • Python, SQL, Pandas, NumPy
  • ETL Pipelines & Data Architecture
  • Distributed Computing
  • Geospatial Analysis

Tools & Infrastructure

  • AWS (S3, EC2, Athena)
  • Docker, Linux, Git
  • Jupyter, VSCode
  • Plotly, Seaborn

Football Analytics

  • Tracking Data Analysis
  • Metric Development (ASI)
  • Agent Simulation (Kaggle)
  • Event Data Processing

Personal & Academic Projects

These side projects showcase range across data visualization, NLP, time series analysis, and more.

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