Gabriel Ferreira

I joined the Research and Development Team to help them discover requirements, build new and maintain existing features around playful personalization apps for K-12, including but not limited to reading and writing skills. For example, I was part of the team that built "Reading Lab ", which implements the "Science of Reading" theory and aims at helping kids to learn how to read.

I worked as a Software Engineer, being a member of the Deep Learners team. I developed AI-based features using existing AI abstractions, created proof-of-concept solutions for improving the performance of our vector-based database, and researched new ideas/tools around new Open AI APIs and Chat GPT to be used in our products.

I joined AdQuick's analytics team to design and ship the attribution data pipeline, where we process a large volume of data and provide dashboards with insights about advertisement campaigns. I was exposed to both (i) building user-facing UIs and admin tools to visualize, monitor, and debug our complex data pipeline; and (ii) using GCP, AWS, and APIs to integrate data with 3rd parties.

I worked as a Full-Stack Engineer, contributing to the HP Anyware project, designing, developing, and securing a client-facing web application (ZCentral Workstation Manager), to allow clients to schedule and share workstation resources among employees of the client.

I was a Graduate Research Assistant at CMU where I researched and built solutions around containing malicious package updates on the Node.js/npm ecosystem. The solutions were (i) a lightweight permission system that reduces applications' attack surface, and (ii) an anomaly detection approach that reduces developers' review effort by focusing on suspicious updates.

I worked as a Full-Stack Engineer, contributing to: (i) re-designing legacy software functionality to microservices style using Java technologies; (ii) planning solutions for new software projects at functional and architectural level; (iii) writing extensive software documentation using semi-structured natural language and UML, and (iv) maintaining existing software systems by adding new features

I worked as a Full-Stack Engineer, designing a microservices platform for a telecommunications company using Java technologies, JavaScript, Object-oriented principles, Design Patterns, and Distributed Systems Concepts (REST, Object serialization).

I worked as a Full-Stack Engineer, designing a microservices platform for a telecommunications company using Java technologies, JavaScript, Object-oriented principles, Design Patterns, and Distributed Systems Concepts (REST, Object serialization).

Activities and societies: Communication, Python, Machine Learning, Presentation Skills, JavaScript, Scala, C (Programming Language), Mentoring, Software Architecture, Algorithms, Scientific Writing, Node.js

Pursued a Doctor of Philosophy in Software Engineering. Focused on advanced research and study in the field.

Activities and societies: Communication, Presentation Skills, C (Programming Language), Mentoring, Algorithms, Scientific Writing

Completed a Master's degree in Computer Science. The dissertation focused on the use of Feature-oriented Programming for Evolving Software Product Lines.

Activities and societies: Undergraduate teaching assistant: Introduction to Computer Science. Undergraduate Research Opportunities Program student: Data mining, Tree patterns, XSLT, XQuery. UFUGames - Game development study group - Technologies/Tools: C++, Ogre3D, SDL, OpenAL. Skills: C (Programming Language), Java.

Earned a Bachelor's degree in Computer Science. Served as an undergraduate teaching assistant and participated in the Undergraduate Research Opportunities Program focusing on data mining. Was also involved in the UFUGames development study group.