Currently pursuing a Master's in Computer and Information Sciences at George Mason University, I am passionate about building intelligent, ethical, and scalable systems using technologies at the intersection of Machine Learning, Data Science, and Cloud Computing, I focus on real-world applications in areas like Algorithmic Fairness, Recommender Systems, Edge Deep Learning, and NLP.

I have hands-on experience building cloud-native applications and deploying them using Docker, Kubernetes, and AWS. I’ve designed and implemented CI/CD pipelines using Jenkins and GitHub Actions for microservices and data workflows. My academic and project experience also includes working with relational (Oracle, MySQL) and non-relational (MongoDB, Firebase) databases — writing optimized SQL queries, managing data migrations, and performing document-based aggregations.

I enjoy blending research-driven development with practical problem solving, especially in areas that promote ethical AI and social impact. Constantly exploring new tools and techniques, I’m driven by a curiosity to innovate responsibly and build systems that are not only technically robust, but also fair, transparent, and human-centered.