About
Hi, my name is Jose Alberto Ramos. I'm passionate about artificial intelligence and currently i'm working at Rappi. I enjoy my free time being a full stack developer, a hobby that has become one of my favorites
I'm Machine Learning Engineer & Data Scientist in Rappi
We use technology to meet business requirements, my main focus is on fraud, developing machine learning models for transactional fraud and the implementation of onboarding fraud models.
- Birthday: 10 April 1994
- Website: https://jalberto9
- Phone: +52 5531105850
- City: CDMX, Mexico
- Age: 28
- Degree: Bachelor of Applied Mathematics and Computer Scienc
- Email: albertoramosrj@gmail.com
I am originally from the state of Puebla, but I have been living in the CDMX since 2012, I did the Bachelor of Applied Mathematics and Computer Science at the National Autonomous University of Mexico (UNAM)
In 2021 the University awards me the Gustavo Baz Prada medal, it is awarded to the best social service of the generation, I carried out a project for the Mexican Economy Secretary which gave me said award
Hobbies
Swim
Play tennis
Developer
Skills
During the last years I have taken courses that range from neural networks to devops, learning from artificial intelligence models to creating applications for mobile phones.
Developing
Technology
In recent years, my work has led me to learn new technologies to solve our artificial intelligence challenges, my focus has been from data scientist to machine learning engineer. I have trained a model to get the demo of an app just to find a way to solve this challenge, that has led me to know each of the following technologies
Resume
I have a bachelor's degree in applied mathematics and computer science. As a hobby I take courses on artificial intelligence as well as a fan of reading medium articles.
Sumary
Jose Alberto Ramos Rojas
If you ask me why I do what I do, the answer is simple, since I was a child I have always been attracted to the question of why things work the way they do, driven by that simple and simple question that has led me to this moment.
- Ciudad de Mexico, CDMX, MX
- (55) 310-5850
- albertoramosrj@gmail.com
Education
Angular Avanzado
2021 - 2022
Udemy Online
The accelerated growth of applications and my own interest in the development of applications with AI led me to learn this language to be able to use it in Ionic
Apply Generative Adversarial Networks (GANs)
2020 - 2021
Coursera Online, Deeplearning.ai
It is one of the places where I take long courses to delve into artificial intelligence issues, in the same way the rest of the online pages that increased their traffic during the pandemic, including platzi, udemy and university channels.
Machine Learning Specialization
2020 - 2020
Coursera Online, Deeplearning.ai - Stanford University
It allowed me to know the applications of artificial intelligence in different problems.
Bachelor of Applied Mathematics & Computer Scienc
2013 - 2019
National Autonomous University of Mexico (UNAM)
Where I studied my degree and where I was able to learn about the world of artificial intelligence and part of the basic mathematics with which it works
Professional Experience
Machine Learning Engineer
2021 - Present
Rappi, Mexico City, CDMX
- Deployment of the different AI models created by the data scientist team.
- Review of performance metrics of the different models in production.
- Development of new architectures to meet the response times of each microservice.
- Find solutions for the challenges of MLOPS within the company, implementing new technologies
- Research for data science team or team challenges
Data Science
2020 - 2021
Rappi, Ciudad de Mexico, CDMX
- Development of transactional fraud models
- Feature engineer for develop fraud models
- Creation of automatic flows for data analysis and exploration
- Implementation of business rules to reduce fraud
- implement models offline for fraud detection
Offer Management Analysis Specialist
2019 - 2020
Citibanamex,Mexico City, CDMX
- Analysis of control groups with the different experiments to offer an adequate product
- Promote the implementation of new technologies for the development of more complex models
Developer
2018 - 2020
Mexican Ministry of Economy, Mexico City, CDMX
- Creation of an interactive map for risk situations, earthquakes, hurricanes, etc.
Articles
At work we have research teams, we collaborate with each other to generate experiments and research, we also do medium posts.
Relational Graph Neural Networks for Fraud Detection in a Super-App environment
Large digital platforms create environments where different types of user interactions are captured, these relationships offer a novel source of information for fraud detection problems. In this paper we propose a framework of relational graph convolutional networks methods for fraudulent behaviour prevention in the financial services of a Super-App.
Feature Store, limitation of AI models?, Theory of a Feature Store
From experience working, I have discovered that the main problem when implementing machine learning models is having the features, data points or whatever you want to call it