Kullas worked on the lowtouch-ai/agent_dags repository, focusing on apparel sizing data modeling to standardize and improve the quality of sizing information for analytics. Using dbt and YAML, Kullas updated the dbt_project.yml configuration to set the dateofbirth field to a timestamp, supporting more accurate temporal analysis and data integrity. They also created a new seed dataset called 'sizes' with explicitly defined column types, ensuring consistent and structured data for downstream analytics and dashboards. The work demonstrated a solid grasp of data engineering principles, emphasizing data governance and readiness, though the scope was limited to a single feature this month.