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AJ Barea

PhD Student · Federated Learning and Agentic AI

I build federated learning frameworks and multi-agent development systems. My research sits at the intersection of trustworthy distributed ML, human-on-the-loop AI agents, and developer experience for AI-assisted software.

Experience & Education

  • Doctor of PhilosophyCurrent

    Computing and Information Sciences · Rochester Institute of Technology

    Federated learning + agentic AI research continuing under Dr. Leon Reznik, extending the IntelliFL line from the MS capstone.

    Federated Learning · Distributed ML · Agentic AI · Research

  • Summer Research Scholar

    SCADS · Summer Conference on Applied Data Science · NC State · Laboratory for Analytic Sciences

    Eight-week selective research program pairing grad students with IC and national-lab personnel on at-scale AI evaluation. Worked on agentic-AI orchestration over heterogeneous data sources.

    Applied Data Science · SCADS

  • Teaching Assistant

    Software Architecture · Rochester Institute of Technology

    Mentored students through design patterns, architectural styles, and quality attributes. Led a full class session during the instructor's absence.

    Software Architecture · Design Patterns · Mentoring · Code Review · Teaching

  • Graduate Research AssistantCurrent

    Dr. Leon Reznik's Research Group · Rochester Institute of Technology

    Raised IntelliFL test coverage past 80%. Built the React + FastAPI surface for federated experiment management. Shipped Byzantine-robust aggregation strategies (Krum, Bulyan, RFA, Trimmed Mean).

    Federated Learning · PyTorch · React · FastAPI · Python

  • Master of Science

    Software Engineering · Rochester Institute of Technology

    GPA: 4.0/4.0. Capstone: enhanced the IntelliFL federated learning execution framework under Dr. Leon Reznik.

    Machine Learning · Distributed Systems · Cloud Computing · Software Architecture · Python

  • Software Engineer (Contract)

    Distribution Management Systems · Lowe's Home Improvement

    Cut daily error logs by 150,000 across RDCs. Built full-stack automation tooling. Reduced onboarding time by 80%.

    Java · SQL · Spring Boot · Full-Stack · Agile

  • UX Developer (Internship)

    Development Team · Phiquest

    Built a blockchain-based document-authenticator Chrome extension in Node.js. Wireframed web-app surfaces with cross-functional teams.

    JavaScript · Node.js · UX Design · Blockchain · Figma

  • Bachelor of Science

    Computer Engineering · University of South Florida

    GPA: 3.06/4.0. Capstone: shipped the PhiQuest blockchain-explorer document-certification system with Allen Cheng and Ethan Wuitschick.

    C · C++ · Embedded Systems · Digital Logic · Microcontrollers

Research Ecosystem

A coordinated family of repos exploring agentic AI and federated learning from complementary angles. Each is independently invocable.

Recent Activity

Technical Expertise

Languages & Frameworks
Python, Java, TypeScript, JavaScript, C++, C, SQL, React, Vue.js, Spring Boot
Cloud & DevOps
AWS EC2, AWS S3, AWS Lambda, AWS DynamoDB, AWS API Gateway, AWS CloudFront, AWS Cognito, Docker, Terraform, GitHub Actions
AI & Machine Learning
PyTorch, Hugging Face, scikit-learn, FLOWER, Webots, Reinforcement Learning
Tools & Platforms
Git, Perforce, Jira, Confluence, Bitbucket, VS Code, pytest

Contact

Email is the fastest way to reach me.