Li Ly

I’m a seasoned Senior Machine Learning Engineer and Data Scientist with a passion for turning complex data into actionable insights. With “over 9 years of experience in Python backend development” and a deep dive into Generative AI, I build and optimize machine learning models and data pipelines that deliver measurable impact—like “up to 30% improvement in prediction accuracy,” “reducing model training times by 40%,” and improving predictive performance by “15%.” I design scalable ML inference systems using TensorFlow and PyTorch, then deploy solutions in the cloud with AWS, Docker, and Kubernetes to keep models reliable in production.

I also thrive on end-to-end problem solving: I spearhead data pipelines for “terabytes of structured and unstructured data” using Apache Spark, Kafka, and Hadoop, and I apply NLP and computer vision techniques for high-value business outcomes (topic modeling, sentiment analysis, NER, image classification, and object detection). Whether I’m integrating LLM-based applications with LangChain, running rigorous A/B testing and statistical analysis, or mentoring teams in an Agile environment with CI/CD, my focus is always to bridge the gap between data and decision-making.