Gonzalo Cabrera
Senior Cyber Threat Engineer
Davis, California, United States
Summary
🤩
RockstarGonzalo Cabrera is a Senior Cyber Threat Engineer with 15+ years protecting corporate, government, and military environments through forensic analysis, threat intelligence, and SOC engineering. He combines deep hands-on skills in host/network/memory forensics, malware reverse engineering, and decryption of modern protocols (QUIC/TLS) with leadership experience running SOCs and managing multidisciplinary teams. Gonzalo has supported high-profile investigations including Operation Aurora and delivered business-critical bot abuse insights for top-tier tech clients at HUMAN. Equally comfortable in cloud and on-prem environments, he has practical MLOps and DevOps experience contributing to Google Cloud and open-source ML tooling, bringing an uncommon blend of cybersecurity rigor and production-grade engineering. Fluent in Spanish and Portuguese, he is known for translating complex technical findings into strategic, client-facing recommendations.
7 years of coding experience
3 years of employment as a software developer
Stackoverflow
9,674reputation
6.1mreached
239answers
223questions
google-cloud-platform
top-5%
anaconda
top-5%
postgresql
top-5%
macos
top-5%
amazon-s3
top-5%
python
top-5%
Github Skills (63)
monitoring10
google-cloud-platform10
distributed-training10
google-cloud-dataproc10
python10
scripting10
testing10
sample-size10
machine-learning10
bash10
gcp10
sample-rate10
keras10
php10
script10
Programming languages (16)
Github contributions (5)
GoogleCloudPlatform/cloudml-samples
Sep 2018 - Apr 2021
Cloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-samples
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:280 commits, 135 PRs, 244 pushes in 2 years 7 months
Contributions summary:Gonzalo's contributions primarily involve updating deployment configurations and modifying shell scripts to enhance the existing machine learning pipeline. These changes include updates to bucket paths, the addition of Google Cloud credentials for authentication, and handling NameErrors within the processing scripts. The user demonstrates proficiency in managing Google Cloud resources and integrating different components of the ML workflow.
gcpcloudml-samplescloudmldeep-learninggooglecloudplatform
GoogleCloudPlatform/ai-platform-samples
May 2019 - Jun 2021
Official Repo for Google Cloud AI Platform. Find samples for Vertex AI, Google Cloud's new unified ML platform at: https://github.com/GoogleCloudPlatform/vertex-ai-samples
Role in this project:ML Engineer
ML EngineerContributions:1 review, 271 commits, 123 PRs in 2 years 1 month
Contributions summary:Gonzalo's initial PR established a template for TensorFlow, specifically for structured datasets, utilizing a TensorFlow W&D network, with a focus on core functionality and GPU utilization. The user then modified an `inputs.py` file for the training process, likely configuring data parsing, feature engineering, and data loading. These commits suggest the user was involved in setting up the model training pipeline and preparing data for model consumption.
gcpgooglecloudplatformgoogle-cloud-platformai-platformmachine-learning
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.