Eduardo Castro
10+ years of professional experience, including key roles at global firms like Oracle and Deloitte. Specialist in Java/Spring Boot, SQL and cloud-native deployments (AWS, Docker, Kubernetes). Proven track record implementing scalable backend architectures.
Hands-on experience of Python ecosystem and AI integrations with OpenAI SDK for Java.
Currently focused on AI-Augmented Development and Spec-Driven Development to accelerate the SDLC.
Design and Implementation of a research automation system using Java, Spring Boot, OpenAI SDK for Java, Jira Webhooks, AWS (S3 & Lambda) among other technologies.
Writing unit tests, validation and bug fixing of a migrated sytem from Mainfram/COBOL to Java 17.
Web development (mostly backend) with Java and Python, Oracle DB, ElasticSearch and Linux Bash scripting. These projects are running over cloud environments (Oracle Cloud Infrastrucre).
Sep 2019 - Jan 2024Backend development with Java and Spring framework. I also worked adding few features in frontend side using React
May 2019 - Aug 2019Backend development (Implementation of new features and bug fixes) of an inventory system with Java and Spring framework
Oct 2018 - Apr 2019Backend and RESTful service development with Java/Spring and development of desktop apps with Java/Swing
Apr 2018 - Oct 2018Research and implementation of data analysis algorithms in Python and Java, backend development with Java/Spring and development of native Android apps
Oct 2015 - Apr 2018Design and development of Android native applications in Java
March 2015 - Oct 2015Foundations of supervised and unsupervised learning using Python and libraries like scikit-learn and matplotlib to create predictive models and uncover hidden patterns in data.
March 2023knowledge of object-oriented concepts, the Java programming language and general knowledge of Java 8 platforms and technologies (Collections Framework, Lambda Expressions, etc.)
July 2018Faculty of Mathematics
2009 - 2014Tech Talk where I gave an overview of topics like supervised learning, neural netowrks used for computer vision, Knowledge Transfer (Fine Tuning) and Tensorflow. Finally I presented an overview on how I built an Android app that detects some objects in offline and real time fashion by re-training a neural netowrk and including it to the application using TensorFlow Lite
Oct 2018MathemaTICs was an initiative to train recent college graduates that later could be hired by the company. I taught an introduction course which covered topics like OAuth2 authetication, Creating app screens with activities/fragments, REST APIs integration, and other topics realted to Android native development with Java.
Apr 2017MathemaTICs was an initiative to train recent college graduates that later could be hired by the company. I taught an introduction course which covered some famous coding algorithms using Python such as sorting, searching, tree traversals, etc.
Feb 2017