- Engineered an LLM chatbot API enabling natural language conversion on a graph database, allowing for queries up to 6 links deep on a database containing over 44 million nodes and 80 million relations- Developed a dynamic Streamlit UI for LLM Chatbot to filter up to 1,000 entries per invocation, formatting the results as an interactive data frame with graph attributes listed in order of importance- Implemented Javascript algorithm to modify 1100+ Cypher queries in-place across 200+ files, facilitating seamless migration between major Neo4j versions- Enhanced test-database construction time by 7% through optimized Neo4j Cypher queries- Updated database schema to incorporate 20 AI-related nodes for AWS, Azure, GCP accounts

- Monitored and adjusted pool chemicals hourly, maintaining a hazard-free pool environment- Facilitated pool capacity and activity, ensuring safe environment for 40+ patrons ranging from age 4 to senior citizens with a team of 2 lifeguards- Mentored newly-certified lifeguards in enforcing facility rules and operations.

- Supervised activity of 40+ patrons with 2 other lifeguards- Enforced facility rules and addressed first aid circumstances according to procedure- Maintained safe pool environment

- Worked with variety of skill levels, ranging from beginner to pre-competitive, and variety of ages, ranging from 4 year olds to adults- Advanced skills of patrons through 1 on 1 training in 2 week sessions- Incorporated parent goals into personalized swim curriculum for each of 12 students