Undergraduate Research Project – Data Labeling for ML System Development
I independently designed and developed a network signal monitoring and threat detection system using machine learning as my undergraduate research project. This work required processing and labeling real-time data for testing and fine-tuning learning algorithms. The project resulted in a fully functional application capable of automated anomaly detection. • Processed and labeled raw network signal logs • Generated labeled datasets for algorithm validation and model refinement • Tuned machine learning models using curated data • Documented data handling and labeling workflows