I build practical AI agents, machine learning models, and backend systems through Computer Science and Engineering coursework and hands-on projects.
I architected an AI Professional Coach and Reviewer that audits LinkedIn profiles against recruiter benchmarks, identifies missing proof metrics, and generates tailored 30-day improvement roadmaps. I open-sourced the project on GitHub with reproducible prompts, documentation, and a clean code structure.
I also developed a Scikit-Learn model for detecting fraudulent social profiles, engineering behavioral features and evaluating classification performance with accuracy, precision, recall, and F1-score.
For a course and habit management system, I designed normalized PostgreSQL schemas and implemented Java/JDBC business logic for transactional CRUD workflows. I continue building across cloud, AI, databases, and developer tools through Oracle Cloud, Microsoft Azure, and GitHub certifications.
