Alex Kim

Developed recommendation algorithms improving content engagement by 25% for 10M+ users

Built machine learning models to optimize content licensing decisions, saving $15M annually

Led A/B testing framework implementation reducing experiment cycle time by 40%

Created demand forecasting models reducing driver wait times by 30%

Implemented anomaly detection system identifying fraudulent activities with 95% accuracy

Published paper on neural network architectures at NeurIPS conference

Developed open-source library for time series analysis with 1000+ GitHub stars

Machine Learning: Deep Learning, NLP, Computer Vision, Time Series Analysis

Programming: Python, R, SQL, Scala, TensorFlow, PyTorch

Tools: AWS, Docker, Kubernetes, Airflow, Spark, Kafka

Research Focus: Deep Learning for Computer Vision; Teaching Assistant for ML courses