- π Directed Studies (EECS 4070) supervised by Prof. Enas Altarawneh
- π§ Research interests: Machine Learning, Artificial Intelligence, context-aware modeling, and knowledge-informed AI systems
- π§ͺ Building reproducible experimental pipelines and evaluation workflows
Languages: Python, Java, SQL, Prolog, C, Bash
ML/AI: PyTorch, Scikit-learn, JAX (auto-diff), NumPy, Pandas
RAG / Retrieval: LangChain, ChromaDB, sentence-transformers
Engineering: Git, Docker, REST APIs, Spring Boot, MySQL, Azure DevOps (CI/CD)
- π’ Former Software Developer Intern @ Moneris (12 months)
- Built automation tools and validation pipelines (Java/Spring Boot, SQL, CI/CD)
- Reduced QA testing time by 60% through automated comparisons and systematic testing workflows
