Abel Córdoba González Email & Phone Number

Argentina

Argentina

Fellowship program (<2% acceptance rate) where top talent comes to accelerate their machine learning careers, surrounded by a community of AI professionals and experts.- Built a scraper to interact and extract information from several API’s using Request. Configuredperiodic execution of this task using Airflow. This implementation cut processing times by 50 percent.- Created a Natural Language Processing model to predict sentiment using a large (50K) reviews dataset. Normalized using BeautifulSoup, tokenized using Spacy and tailored a custom word embedding using Word2vec.- Directed the development of a predictive model using more than 5 million observations to build aXGBoost model using Scikit-learn library. The model deployed both in Streamlit and AWS, and madeavailable through REST API for real time inference. Then, monitored with WanDB and retrained settingup Airflow jobs.- Developed, in a fully dockerized environment, an MLP for image classification using Keras framework.Model was deployed and made available to clients using a REST API (using Flask and a Redis instance).Performed API load tests using Locust.- Built a machine learning model and implemented a pipeline to predict whether a person applying for a home credit will be able to repay their debt or not. I used Area Under the ROC Curve (AUC) as theevaluation metric, and worked with multiple files with different information about loans taken. Modelimplemented using Python, Pandas, Scikit-learn, Matplotlib, and Seaborn.- Implemented an Apache Airflow pipeline to retrieve information about e-commerce information fromSQLite databases and Dbeaver. Automated the process of charting and reporting, which reduced thetime it took to generate reports from hours to minutes. Improved the accuracy of reports andincreased the visibility of data to decision-makers.

- Developed a system for the creation of electoral campaigns and links between voters and candidatesusing React with Typescript and Ant Desing and Bootstrap for the Frontend and MongoDB and Expressfor the Backend.- Created filters and voter visualization in maps with React Leaflet.- Create reporting and visualization dashboards with business intelligence tools by analyzing andstructuring data using Python, SQL, Power BI, and Tableau.- Developed e-commerce platforms for content sales by subscription, with an admin panel for CRUDoperations on products and services. Automated recurring subscriptions for each customer andcontent protection for users without permissions.- Integrated payment gateways through PayPal and implemented authentication through AWS andFirebase.- Developed online stores with payment gateways through PayPal and MercadoPago APIs, featuring anadmin panel for product registration, deregistration, and modification. Managed users andpersonalized promotions/discounts for each customer, along with an inventory/stock control system.

- Developed a student management system and a programming school system using Node.js and Express.js for the backend, and React for the frontend. Integrated successfully the MercadoPago payment gateway for course checkouts, demonstrating my ability to incorporate new technologies and features to enhance user experiences. Integrated APIs such as Slack, Google Calendar, and Zoom to schedule classes, send reports, and visualize classes on the platform, among other functionalities. - Developed simultaneously an app for a pharmacy group using PostgreSQL with Sequelize as the ORM, exemplifying my ability to manage multiple projects concurrently without compromising quality.- Developed a fitness center app using React Native, leveraging Firebase for authentication and MongoDB for databases. This project required me to employ a mix of technologies and apply a deep understanding of user needs, further showcasing my adaptability.- Teach as an Instructor in Full Stack Developer training course.- Taught web development from basic to advanced level of the following technologies: HTML, CSS, Javascript, Bootstrap, React, Express, mongoose, JWT, mongoDB, among others.

- Involved in developing a recommendation system where users could endorse others and earn pointsfor rewards using React with Typescript and Ant Desing for the frontend and Nest.js with Typescriptand TypeORM for the backend and mongoDB for database.

- Involved in the development of a Computer-Mediated Maintenance System (CMMS) using C#, .NET, and Spring Boot that helped the hospital to manage and control the maintenance activities of medical products. It allows automating and facilitating the management of the maintenance and overhaul operations of medical equipment and the staff in charge of that maintenance.

Machine Learning Engineer

Full Stack Developer, Computer Programming, Specific Applications

Ingeniero Biomédico, Biomedical/Medical Engineering