Eduardo possesses over 20 years of professional software development background and has the experience and skills to fulfill both programming and data engineering roles. He enjoys building data processing pipelines as well as designing and developing software solutions using Golang, Python, and DevOps.
Designing and developing innovative software solutions for different clients across a broad range of industries.
Wrote the backend for a video and photo editor that offers hundreds of award-winning Instagram templates, and that managed 50MM users.
Ensure that features are being delivered efficiently and on-time.
Worked on creating data pipelines to process product info using Airflow DAGs.
Developed jobs to clean and pre-process data, and also designed systems to offload the ML algorithms.
Created data pipelines and data ingestion tools in order to collect product info data, asynchronous, event-driven.
Joined the team to improve data engineering processes and automation for Varsity Tutors, a platform that offers private and group tutoring, classes, test prep, and virtual learning for all students and professionals.
Designed APIs, consumed data from APIs, real time data, event-driven, serverless.
Maintained legacy code for the platform, as well as migrated its tools.
Designed and implemented the whole Backend for Unfold, a video and photo editor that offers hundreds of award-winning Instagram templates.
Worked on large scale platform improvements, upgrades and long term strategy to scale in tandem with increasing number of users and features.
Managed the automation of processes to promote a self-serve model and in creating signals for data-driven decision making
Designed the data prediction pipeline using Golang. Created Goroutines to speed up data processing.
Created the data processing architecture together with the Data Science team.
Improved prediction model execution from days to a few hours.
Designed the data pipeline for student analytics.
Created a data anonymizer so other Data Scientists could work without losing data information.
Defined the database architecture / serverless.
Created a platform that can predict fraudulent transactions.
Designed and implemented the infrastructure that runs in production.
Created a desktop application to manage funds in bank accounts.
Created a system that was able to collect data from Cattle farms and improved the whole industry kpis.
Developed a synchronization system to allow data transfer from a server and client machines used to collect data.
Managed a team up to 25 developers and trained junior developers.
Created the system that runs the Predictive Analytics for IBM GBS projects.
Implemented and deployed over 15 different predictive KPIs. Some of these KPIs saved costs over $150MM over 3 years. The project uses machine learning for the predictive indicators.
Managed projects with IBM Research / IBM India / IBM Ireland and IBM US.
This project was initiated by IADB to register and train small rural producers.
The system automates the registration, approval, funding, and tracking of rural producers.
The project involved auditing properties within the defined limits, and granting grants for sustainability improvements.
Led software development efforts for a company with 25 developers.
Implemented a comprehensive software development process, including interview and training of new developers.
Researched and selected technologies (C#, SQL Server, Python) for the project.
The project aims to calculate fees/taxes for civil construction.
It utilizes data from Brazilian construction laws to determine tax obligations.
The system generates reports identifying non-compliant construction and associated fees.
Builds a website for a civil construction inflation index in Brazil.
Utilizes a flexible system for handling historical data using Python, Django, and PostgreSQL.
Collects data from approximately 5,000 Civil Construction companies in Brazil.
