Freddy – Python, Django, Flask

The project consists on creating and maintaining ML models for the prediction of some market products. This predictions are made running python models in Kubeflow pipelines. Around this project, several other projects are created to support the main one.

• Created GCP CFs to automate alerts when PowerBI reports are refreshed
• Implemented custom notifications for Kubeflow pipelines.
• Kept application safe by writing integration and unit tests with pytest
• Maintained Kubeflow cluster
• Maintained Jenkins job

Solve is a market data platform for buy-side traders and managers. They offer Desktop and Web solutions for fixed Income’s market-leading price transparency.

• Improved project maintainability by refactoring significant, expensive controllers into light performant controllers, using SOLID principles and non-blocking code;
• Started and encouraged the creation of tests for the Web Solution, both back-end and front-end;
• Migrated tons of Vanilla.js code into TypeScript and React.js components;
• Used RegExp for parsing complex email messages;
• Covered the projects with Jest tests.

This project under NDA aims to simplify food & grocery operations all on one platform.

• Integrated multiple types of Web API into our system, like REST APIs, SOAP, and browser actions;
• Created CLI utilities that expose APIs, allowing to generate the automated system scripts;
• Designed and coded reusable classes, decreasing the number of duplicated lines in the current codebase by about 30%;
• Created GitHub Actions that build, test, and ensure high-quality code following PEP conventions;
• Enhanced the codebase from scripting/functional code to a fully object-oriented approach;
• Migrated tons of Perl code into Python3.

This project consolidates user administration tasks and runners for system utility scripts. Due to the high number of features and customizations required, and the need for keeping the front end aside, the project can be treated as an enhanced Django Admin.

• Сreated fully customized Django App with WT Token generation, custom User Model, authentication, and custom QuerySets managers;
• Implemented dynamic database connection using custom DB routers;
• Created Front-End project using best practices;
• Wrote high-quality code with 80% of unit testing coverage;
• Created GitHub Actions to automatically check, test and deploy the application into AWS EC2.

The application allows OneDataSource customers to visualize reports and dashboards, schedule reports executions, and export reports in different formats.

• Designed, coded, and published the app to both Play Store and App Store;
• Created Github actions that check, test, and deploy the application to both Google Play Console and Apple Developer Site;
• Covered the app with tests using Jest and React Native Testing Framework.

BanReservas is the one of the biggest bank in D.R. The system auditor position requires analyzing the bank's systems and applications identifying vulnerabilities and risks, and then reporting the findings. Several projects were developed for the bank, including:

• PICA: A system that calculates the specific and general risk for particular processes based on data collected from our audit tests.
• Hotline: A system that allows the bank's employees to report any suspicious activity or behavior.

• Lead developer for a system that automated audit tests using custom ETLs, optimizing the overall audit time from 1-5 days to a few hours. This new system audited different areas of the bank, including Credit Card transactions, Treasury, HR, Hotline, and others.
• Contributed to and led the creation and maintenance of a system with distributed OCR processing to enable the digital processing of physical documents used as audit trails.
• Developed a system that consolidated audit results and generated KPI, risk indicators, charts, and reports available to all bank departments.

The project consisted on developing different tools and small web applications to optimize the work of the different departments (sales and logistic mostly) of the company. The company used Dynamic AX ERP (Axapta) and SQL Server as database.

• Developed a backoffice that integrated several processes of the company (customer fidelity points, products discounts, performance reports, etc).
• Created a monolithic web application to manage the inventory process.
• Optimized SQL queries.