MLE-STAR Ablation →
A controlled study of which components in Gemini-generated ML pipelines actually improve model quality.
Selected course finals / 2025-26
AI / Data Coursework Lab
Three substantial final-course projects grouped into one compact project archive.
About the project
A focused archive of recent coursework with enough depth to stand behind: controlled ML evaluation, statistically grounded product experimentation, and production-shaped streaming and batch data pipelines.
Evidence & results
- Three substantial final-course projects selected from the last two years, not a dump of every homework repository.
- Covers controlled AI/ML evaluation, product decision-making, and practical data infrastructure.
- Each tab carries its own result trail, technical stack, and source repository.
Projects in this collection
Advertising A/B Test →
A complete advertising experiment review that connects statistical results to a cautious product recommendation.
Olympic Data Pipeline →
An end-to-end Olympic athlete pipeline combining real-time event processing with a reusable batch lane.