Federico V.

Projects:

• AI stock market player
• AI job candidate matching platform
• AI operational monitoring of the egg industry

Team Size:

Led and managed two teams comprising a total of 10 professionals. One team focused on application development, while the other team specialized in AI research.

Achievements:

• Led the creation of the application development department managing two teams, comprising a total of 10 professionals, resulting in a team focused in productivity and the successful delivery of projects within tight deadlines.
• Spearheaded the design, development, and deployment of Tulipan1637.com's flagship custom ML/ETL pipeline capable of servicing over ten thousand requests per second.
• Integrated cutting-edge Python scripts from the AI team into the company's custom NODEJS + POSTGRESQL ETL pipeline, resulting in a 70% reduction in data processing time for the python scripts.
• Built the extraction of data from legacy production systems, leading to a seamless flow of information for executive decision making with daily updated data dashboards.

Responsibilities:

• Spearheaded the design, development, and deployment of Tulipan1637.com's flagship products, utilizing NODEJS with POSTGRESQL.
• Integrated cutting-edge Python scripts from the AI team into the company's custom NODEJS POSTGRESQL ETL pipeline.
• Orchestrated REST integration to extract data from legacy production systems and seamlessly hydrate AI scripts and Grafana AWS front-end.

Key Tools & Technologies: NodeJS, AWS (EC2, RDS, S3, Amplify), ExpressJS, React, Neo4J, Grafana, Elasticsearch, PostgreSQL, Python, Sybase, COBOL, REST, Gurobi, and custom AI procedures in Python and Sybase.

Project: Led the development of groundbreaking financial analysis software aimed at generating human perspective indices from financial statements, enabling informed decision-making.

Team size: Managed a team of 4 professionals, fostering collaboration and driving project success.

Tasks performed:

• Developed and deployed sophisticated software capable of generating comprehensive human perspective indices from financial statements.
• Implemented an inventor's algorithm into a high-availability, microservices-based JEE application that scraped financial data from Yahoo! Finance and integrated it seamlessly with the algorithms.
• Utilized jQuery for an intuitive front-end presentation of results and dynamically generated XSLT PDF reports for each company, including personalized recommendations derived from a simple expert system based on the inventor's algorithm.
• Enabled users to input private company information for multiple years, leveraging the algorithm's results to generate custom reports tailored to their needs.

Achievements:

• Successfully launched the financial analysis software, leading to a complete automation of a labor-intensive data analysis based on a few dozen “human perspective” indices.
• Scraped and integrated financial data from Yahoo! Finance, Gurufocus and bloomberg.com, enabling real-time data synchronization in a few seconds.
• Showcased the Toolfive platform at an industry-leading event on ethical management, where industry leaders gathered to discuss the role of ethical enterprises and their management. The platform received recognition as a powerful tool for fostering ethical practices and enabling informed human-centered decision-making in business operations.

Tools: AWS EC2/RDS, PostgreSQL, Java 8, EJB, JPA, Hibernate, JSF, JQuery, XSLT, Apache FOP.