Altametrics
Machine Learning Engineer Co-op (Aug 2026 – present) and Machine Learning Intern · Costa Mesa, CA
- Since Aug 2026, a full-time co-op on a computer vision prototype for restaurants, still in testing: YOLO object detection and multi-object tracking turn camera video into item counts, and fine-tuning a larger YOLO model raised precision, recall, IDF1, and count accuracy about 11% over the off-the-shelf model. LLM agent workflows check and label the processed data for next-action prediction.
- Worked on production ML forecasting for daily sales across three national restaurant chains — Jack in the Box, Chipotle, and Buffalo Wild Wings — covering thousands of locations.
- Cut forecast error from 12% to 5%, which translates directly into tighter labor scheduling and lower food cost.
- Worked with the other interns on the data pipeline behind the model: scheduled crawlers behind a rotating proxy pool, a headless browser for pages that render client-side, and an ETL layer that lands everything in a cleaned, de-duplicated store.
- Designed the schema and indexes — range partitioning by date and a composite B+ tree — and ordered the feature joins by selectivity to keep them fast.
- Engineered 30+ predictive features from weather, zip-code demographics, holidays, seasonality, school calendars, and national events, plus macroeconomic indicators.
- Worked on the full model lifecycle end to end: preprocessing, feature engineering, walk-forward cross-validation, hyperparameter tuning, and back-testing against historical sales.
- Worked full-time in Summer 2025 and part-time in Summer 2026 — adding staffing forecasts that predict how many employees each time slot needs — alongside summer-session coursework (CS 61C in 2025, CS 184 and CS 161 in 2026).
