Impact

A six-week internship building the data model and machine learning layer behind a natural-language analytics chatbot, described in full under Research and projects.

• Built LensIQ, a Databricks Genie chatbot letting supervisors and quality engineers query plant data in plain English
• Designed a 12-table Databricks star schema, five dimension and two fact tables, modeling 20,000+ events and 764 errors
• Built an ML and RAG layer producing error clusters, z-score anomalies, correlations, and machine risk scores
• Stress-tested at 100x dataset scale, exposing where statistical assumptions in the anomaly layer degraded accuracy
• Presented architecture and a live demo to leadership, and researched AgentOS agentic design and YOLO object detection

• Teach Python lessons to underclassmen and coordinate hackathons
• Set the club’s direction and run its senior-year programme

• Supervised a group of 12 kindergarten-age campers through a full daily camp schedule for two weeks
• Led morning activity blocks including art, crafts, cooking projects, and structured play
• Provided poolside and in-water supervision during afternoon swim as a CPR-certified counselor
• Accompanied campers on off-site field trips, managing transitions and group accountability

• Coached beginner tennis players and supported youth development programs
• Assisted with summer camps and instructional clinics
• Supervised court operations and match play