Luis G. Boykin
Machine Learning Intern, Agriculture technology
Madison, WI · (608) 555 0129 · name@example.com · linkedin.com/in/luisgboykin
Key Qualifications
EXPERIENCE
16 months across a machine learning internship and undergraduate research
INDUSTRIES
Agriculture technology, university research
SPECIALTIES
Model training and evaluation, feature engineering, experiment tracking
SYSTEMS
Python, PyTorch, scikit learn, MLflow, Structured Query Language
CREDENTIALS
Student member of the Association for Computing Machinery
EDUCATION
Master of Science in computer sciences expected 2027, University of Wisconsin Madison
Results at a Glance
9%
Adding soil moisture
12,000
Field images
140
Training runs
Executive Summary
Machine learning intern in the second year of a master of science, with a modeling internship at an agriculture technology startup and a year of undergraduate research behind her. Trains models in PyTorch and scikit learn, tracks every run in MLflow, and writes careful evaluation notes. Graduates in 2027.
Signature Achievements
- Improved yield prediction error by 9 percent by adding soil moisture history to the feature set.
- Labeled and cleaned 12,000 field images that became the training set for a weed detection model.
- Tracked 140 training runs in MLflow so results were compared without rerunning experiments.
- Wrote the evaluation notebook two engineers now use to score every new model version.
Professional Experience
Machine Learning Intern
Driftless Agronomy Technologies, Madison, WI 2026 to present
Summer and academic year intern with a four person modeling team at an agriculture startup.
- Train yield prediction models in scikit learn and PyTorch against three seasons of field data.
- Build features from weather, soil and planting records and document every transformation.
- Present weekly results to the lead engineer and log each run in MLflow for review.
Undergraduate Research Assistant
Great Lakes Crop Sciences Laboratory, Madison, WI 2024 to 2025
Campus laboratory studying drought response in field corn.
- Cleaned sensor and imaging data from 30 test plots for two graduate studies.
- Wrote Python scripts that reduced a manual weekly data check to a single command.
- Presented a poster on data quality problems in plot level sensing.
Licensure and Certification
Student member of the Association for Computing Machinery
Education
Master of Science in computer sciences expected 2027, University of Wisconsin Madison
Bachelor of Science in agronomy, University of Wisconsin Madison, 2025
Core Skills
Python · PyTorch · scikit learn · Feature engineering · MLflow · Model evaluation · Structured Query Language · Data cleaning · Technical notes