About Me

Machine Learning for security, Security for Machine Learning

I am passionate about exploring and broadening the potential of Machine Learning and Deep Learning in the field of Cybersecurity. Additionally, I focus on enhancing the security of Machine Learning systems to ensure their reliability and robustness. Currently I work at Microsoft as a Senior Data Scientist on the Core Research team for the Security Copilot. Here I explore new possibilities on how to improve core components to enhance conversational capabilities and skills. It's a very exciting team working on novel uncharted problems inherent to LLM applications. Before joining Security Copilot I worked on the Cybersecurity Artificial Intelligence Threat Prevention team developing Machine Learning models to prevent malware in millions of endpoints. It's an exciting journey of protecting and defending against threats, and I'm thrilled to be a part of it.

Writing

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

I spend the majority of my time engrossed in conducting experiments or contemplating the various applications of Machine Learning.
However, there are moments when it becomes imperative to put thoughts into writing.

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 spend a significant amount of time engaged in conversations, although the majority of my speaking takes place within Microsoft. Occasionally, when I communicate externally, I tend to do so in Spanish, my native language. Here are few instances where I had the opportunity to engage in external communication.

DataLab Community

Uso de aprendizaje profundo para detección de Malware

Security Unlocked Podcast

Episode 46 - What the Fuzz?

SG Data Day 2022

Artificial Intelligence Engineer
Data Scientist

Machine Learning for security, Security for Machine Learning

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

URLTran

Fuzzy Hashing Deep Learning

Ring-Allreduce

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

Uso de aprendizaje profundo para detección de Malware

Episode 46 - What the Fuzz?

Workshop: Train Language models in Azure with HuggingFace

Artificial Intelligence Engineer Data Scientist

Machine Learning for security, Security for Machine Learning

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

URLTran

Fuzzy Hashing Deep Learning

Ring-Allreduce

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

Uso de aprendizaje profundo para detección de Malware

Episode 46 - What the Fuzz?

Workshop: Train Language models in Azure with HuggingFace

Artificial Intelligence Engineer
Data Scientist

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

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