Rafael Del Rey
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Rafael Del Rey Email & Phone Number

Principal Machine Learning Engineer at Zscaler
Location: Windermere, Florida, United States 9 work roles 3 schools
1 work email found @redcanary.com LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email r****@redcanary.com
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Current company
Role
Principal Machine Learning Engineer
Location
Windermere, Florida, United States

Who is Rafael Del Rey? Overview

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Quick answer

Rafael Del Rey is listed as Principal Machine Learning Engineer at Zscaler, based in Windermere, Florida, United States. AeroLeads shows a work email signal at redcanary.com and a matched LinkedIn profile for Rafael Del Rey.

Rafael Del Rey previously worked as Principal Data Scientist at Red Canary and Principal Data Scientist at Bmc Software. Rafael Del Rey holds Doctor Of Philosophy - Phd, Organic Chemistry from Universidade Estadual De Campinas.

Company email context

Email format at Zscaler

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{first}.{last}@redcanary.com
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AeroLeads found 1 current-domain work email signal for Rafael Del Rey. Compare company email patterns before reaching out.

Profile bio

About Rafael Del Rey

I have been a computer programmer for the last 37 years. I love computers and all kinds of simulations, such as artificial life, artificial intelligence, car and plane simulators, and others. I use computers to improve every professional and academic activity I get involved in. From pharmacokinetics simulations, computational quantum chemistry at my M.S. and Ph.D., up to successfully employing machine learning to detect hacking attempts in end-user computers. In 1998 I gave up my Ph.D. to work for GAS Informatica as a freelancer programmer. This work has evolved from my home-office into a digital security division, which has become the company's main business. A few years later, I became one of the company's shareholders.I have created a security software currently installed in almost 40 million machines (G-Buster Browser Defense). It is now the most widespread Brazilian software, in use by most of the largest Brazilian banks. It uses artificial intelligence coupled with advanced system monitoring to help internet banking users to stay safe while making their online transactions. To accomplish such a task, I have developed a highly efficient development methodology, focused on quality and based on Extreme Programming, in a time where Agile methods were not well known. I have been personally involved in researching technologies, creating the source code (Assembly, C, C++, Python), setting up and managing the company since it started in a small room, with just myself and a couple of co-workers.GAS, with about 200 collaborators, has been sold in 2012 to Diebold Inc (NYSE: DBD). Among the four shareholders, I was the only one continuing to work there. At that time, I have built, from the ground up, what I consider my best invention: a machine learning phishing site detector. I left Diebold-GAS in May 2014. For the next years, I have applied my programming and AI skills in computationally based investments, blockchain technologies, and the Internet of Things, helping other companies to setup and develop Data Science teams.Currently I use my expertise in Natural Language Processing, Deep Learning, Vector Search Engines, Machine Learning Engineering and cloud computing in cyber security industry.

Listed skills include Cloud Computing, Security, Network Security, Computer Security, and 23 others.

Current workplace

Rafael Del Rey's current company

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Zscaler
Zscaler
Principal Machine Learning Engineer
Windermere, FL, US
AeroLeads page
9 roles

Rafael Del Rey work experience

A career timeline built from the work history available for this profile.

Principal Machine Learning Engineer

Windermere, Fl, Us

Principal Data Scientist

Current

Denver, Colorado, Us

Principal Data Scientist at the Detection Enablement Team, using Deep Learning and Machine Learning Engineering to help Red Canary improve the efficiency and cost effectiveness of its world famous Threat Detection Engine.

Sep 2021 - Present

Principal Data Scientist

Houston, Texas, Us

Principal Data Scientist, BMC Innovation Labs. At BMC I used Machine Learning, Mathematical Optimization, and Evolutionary Algorithms to develop a novel and unique system capable of optimizing the cost and speed of orchestrated computer workflows, especially Data Pipelines.

Jan 2021 - Sep 2021

Senior Machine Learning Engineer

São Paulo, Sp, Br

Developed some of the largest Portuguese language models to date;Created a Human Resources Transformer model based on BERT (HRBert);Created a custom architecture of deep learning models for precise, semantic matching of job description and applicant resume, which allowed the company to replace IBM Watson, saving millions a year altogether;Based on a deep learning custom-made model and Milvus, developed a system for candidate recommendation, performing ten million matches per second;Developed models for Named Entity Recognition (NER) to extract hard skills, soft skills, experiences, languages, experience durations, certifications, and other entities from job descriptions.

Dec 2019 - Jan 2021

Ceo And Founder

Symbios Technology

Symbios Technology is the very first company I have created in the nineties. In 2014. From 2014 to 2019, this is the company where I centralized most of what I have made for managing my investment portfolio while I waited for my non-competing agreement to expire after selling my company. I have created millions of simulations, trading algorithms (stocks, futures, forex, options), investing strategies, and become quite knowledgeable in finance. I also explored cryptocurrency trading and built a small crypto mining farm in 2017. I have dedicated a fair amount of time to automating houses with IoT devices and integrating them with anomaly detection, computer vision, and other statistical models.Using optimizations, simulations, machine learning, and all kinds of data crawlers, I created a solid portfolio of investments, which currently requires very low human maintenance.Currently, this is the company I use to provide consulting services.

Sep 1997 - Jan 2021

Chief Data Science Officer

Edmonton, Alberta, Ca

Defined and implemented the Artificial Intelligence strategy;Developed machine learning models for detecting compliance issues (such as moral harassment, sexual harassment, hate speech, racism, sexism, and others) in corporate messaging systems;Lead the development of dashboards for monitoring real-time metrics, including sentiment perception based on messages exchanged on the corporate level;Managed deployment and production maintenance/monitoring of our AI Engine;

Dec 2019 - Dec 2020

Chief Software Architect

North Canton, Ohio, Us

As a Chief Software Architect, I assembled the best from the company's software development and research teams to promote innovation at a corporate level systematically. Our first challenge was to create an entirely new approach to fighting phishing scams. We achieved that by combining real-time web page parsing, natural language processing, computer vision, and highly customized machine learning models trained in Python and deployed in Lua and C++. Due to the high standards of software engineering devoted to building the code, it was the first time in a decade that we deployed a product to millions of machines without resorting to the quality assurance team.We have developed the whole pipeline of machine learning processes, from data collection, annotation, model tuning, training, deployment, and monitoring. At that time (2012), combining software engineering and machine learning in an industrial, scalable, efficient process was not openly discussed in the Data Science community. There was no framework for managing artificial intelligence workflows, such as AWS Sagemaker, Databricks, MLFlow, Weights & Biases. We managed to leverage our own set of processes and tools.All team members are current leaders, executives, and shareholders in other companies, spreading what we have created to new levels and areas.

Aug 2012 - May 2014

Founder And Chief Technology Officer

Gas Tecnologia
Aug 2000 - Aug 2012

Project Manager And Software Developer

Gas Tecnologia
Mar 1998 - Aug 2000
3 education records

Rafael Del Rey education

Doctor Of Philosophy - Phd, Organic Chemistry

Universidade Estadual De Campinas

Master Of Science (Ms), Organic Chemistry

Universidade Estadual De Campinas

Bachelor Of Pharmacy (B.Pharm.)

Universidade Federal Do Rio De Janeiro
FAQ

Frequently asked questions about Rafael Del Rey

Quick answers generated from the profile data available on this page.

What company does Rafael Del Rey work for?

Rafael Del Rey works for Zscaler.

What is Rafael Del Rey's role at Zscaler?

Rafael Del Rey is listed as Principal Machine Learning Engineer at Zscaler.

What is Rafael Del Rey's email address?

AeroLeads has found 1 work email signal at @redcanary.com for Rafael Del Rey at Zscaler.

Where is Rafael Del Rey based?

Rafael Del Rey is based in Windermere, Florida, United States while working with Zscaler.

What companies has Rafael Del Rey worked for?

Rafael Del Rey has worked for Zscaler, Red Canary, Bmc Software, Gupy, and Symbios Technology.

How can I contact Rafael Del Rey?

You can use AeroLeads to view verified contact signals for Rafael Del Rey at Zscaler, including work email, phone, and LinkedIn data when available.

What schools did Rafael Del Rey attend?

Rafael Del Rey holds Doctor Of Philosophy - Phd, Organic Chemistry from Universidade Estadual De Campinas.

What skills is Rafael Del Rey known for?

Rafael Del Rey is listed with skills including Cloud Computing, Security, Network Security, Computer Security, Linux, Machine Learning, Computer Vision, and Extreme Programming.

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