Computer Science graduate student at UNC Charlotte with a focus on data engineering, machine learning, and scalable AI-driven systems. Experience working with Python, SQL, Snowflake, Apache Airflow, Airbyte, dbt, DuckDB, AWS, and analytics tools to design, maintain, and optimize ETL/ELT pipelines, cloud data warehouses, and reporting workflows. Background includes data ingestion, transformation, validation, orchestration, data modeling, feature engineering, and dashboard reporting systems used by HR, management, and client teams. Familiar with modern data stack technologies, workflow automation, data quality monitoring, vector databases, retrieval-augmented generation (RAG), LLM pipelines, prompt engineering, embeddings, and building data infrastructure for AI and machine learning applications. Strong interest in MLOps, generative AI, predictive modeling, AI infrastructure, and developing scalable machine learning and LLM-powered solutions for real-world business problems.
