Artificial Intelligence Engineer
Data Scientist

I build AI systems for cybersecurity—spanning threat intelligence, incident response, and malware analysis. I’m especially interested in agentic workflows, LLM evaluation, and making ML systems reliable under real adversarial pressure.

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About Me

Machine Learning for security, Security for Machine Learning

I work at the intersection of machine learning and security: using ML to protect systems, and securing ML systems themselves. I’m currently a Staff Machine Learning Engineer at SentinelOne building AI agents for cybersecurity. Previously, I spent 13+ years at Microsoft—most recently on Copilot for Security research—focused on conversational and agentic AI for security operations, threat intelligence, and incident response.

Edir Garcia Lazo

Writing


The difference between screwing around
and science is writing it down
– Adam Savage

I write when I’m trying to turn experiments into repeatable ideas—notes on ML for security, LLM evaluation, and building practical systems that hold up in the real world.

LLMs in the SOC (Part 1)

Why Benchmarks Fail Security Operations Teams

URLTran

Improving Phishing URL Detection Using Transformers

Fuzzy Hashing Deep Learning

Using fuzzy hashing and deep learning to counter malware detection evasion

Ring-Allreduce

Visual intuition on ring-Allreduce for distributed Deep Learning

Speaking

No audience ever complained about
a presentation or speech being too short
― Stephen Keague

I speak about applied AI for security—from LLMs in the SOC to real-world ML engineering. These are a few public talks and podcast appearances.

AI by the Bay

Building Tools with Tools: Modern AI Driven Development

Security Unlocked Podcast

Episode 46 - What the Fuzz?

DataLab Community

Uso de aprendizaje profundo para detección de Malware

SG Data Day 2022

Workshop: Train Language models in Azure with HuggingFace
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