
Through my experience at OSSM, Mentorship with Dr. Li, employment at Northwest, and other academic pursuits, I have developed critical time management and collaborative skills, as well as hands-on experience with complicated subjects.
Prepared granite for installation, and filled hardware orders for installation crew.
Prepared granite for installation, and filled hardware orders for installation crew.
Prepared doors for installation
Coding Languages - Python and Java
Data Science and Machine Learning Tools - ANOVA, T-tests, and Linear Regression Models
AI/LLM Development - RAG Pipelines, FAISS, LangChain, HuggingFace Embeddings, DeepSeek API, Streamlit
Other - GitHub/Version Control, PyCharm, IntelliJ
IRSP - Focused on Retrieval Augmented Generation and its capabilities alongside vector data storage, worked with Dr. Ze Shi Li from OU, and continued work on the project after the program.
Slant - A conceptually complex project produced from IRSP, but continued, involving Python coding in PyCharm, with a GitHub Repository utilizing Streamlit, RAG pipeline, FAISS, LangChain, and HuggingFace embeddings.
Mentorship - Continued work with Dr. Li
National History Day - Research Paper
Data Science Research Program - With Frontier Technology Institute, Columbia University, and the University of Maryland. Resulted in a project and paper, covering the analysis of a dataset through ANOVA and t-tests, with predictions through linear regression models.