I'm a data scientist — UC San Diego, B.S. Data Science, 2025. I build ML pipelines and analyze large datasets, most recently at Exponential Intelligence. Before that: autonomous vehicles at HDSI, climate research at Scripps, risk modeling at Deloitte.
Most of what I work on sits between messy raw data and a model someone can actually rely on — 70+ years of climate records, autonomous-vehicle perception, LLM survey simulation. See the projects →
Favorite Projects
Education
B.S. Data Science, UC San Diego — Sep 2021 to Jun 2025. Coursework in machine learning, computer vision, algorithms, probability and statistics, linear algebra, recommender systems, and web mining.
Experience
Machine Learning Intern, Exponential Intelligence
Irvine, CA
Built an end-to-end LLM pipeline — prompt engineering plus fine-tuned classification models — to generate AI digital twins of survey respondents across political subgroups, using iterative re-prompting to correct response bias; validated with Jensen-Shannon divergence and chi-square tests against real data.
ML Research Assistant, Halicioğlu Data Science Institute
Autonomous vehicle development
Designed CNN-based perception and control models for autonomous-vehicle navigation on embedded hardware, integrating stereo and RGB-D cameras; trained across 3 prototype configurations on UCSD's Supercomputer Center with MLOps workflows in Weights & Biases; led the team to 1st place at Purdue's national AV competition.
Data Research Assistant, Scripps Institution of Oceanography
Built Python ETL pipelines to analyze 70+ years of climate records across 60 airports, applying PCA, polynomial, and ridge regression to identify statistically significant correlations; contributed to a peer-reviewed publication linking urbanization to local temperature change.
Data Science Intern, Deloitte
Trained and evaluated XGBoost and regularized regression models on 50,000+ HHS records to surface predictors of substance-abuse risk, presenting findings to senior leadership via Plotly dashboards.
Skills
- Languages
- Python, SQL, R, JavaScript/TypeScript, Linux
- ML & AI
- PyTorch, TensorFlow, Pandas, scikit-learn, XGBoost, Hugging Face, LangChain
- Tools
- AWS, Docker, Spark, Airflow, Databricks, Snowflake, FastAPI, Git
The full history, with a downloadable PDF, is on the résumé. Or say hello.