About

Solomon Fung is a seasoned Senior Machine Learning Engineer with over 9 years of experience in software and data engineering. He specializes in machine learning, data science, natural language processing, and deep learning. Currently, he is working at Affirm, where he researches, builds, deploys, and monitors machine learning for underwriting services. Before joining Affirm, Solomon worked as a Senior Machine Learning Engineer at 8x8, where he built and deployed deep learning models with GPU acceleration to improve speech recognition across different accents and recognize industry-specific vocabulary. He also applied NLP techniques such as topic modeling and sentiment analysis and trained machine learning models to understand customers and products. Additionally, he used statistical testing and survival analysis to discover trends with satisfaction, churn, upsell, and various kinds of customer insights. Solomon also worked as a Data Science Engineer at Marianaiq, where he processed and stored semi-structured text data by applying NLP to represent and understand keywords, parts of speech, topic distribution, and sentiment. He developed and deployed machine learning model pipelines that optimize classification metrics and data throughput. He also visualized and annotated high-dimensional datasets with data embedding and clustering techniques. Solomon holds a Master's degree in Management Science & Engineering from Stanford University, where he also pursued a Bachelor of Engineering in Biomedical & Electrical Engineering, with a minor in Computer Science. He also earned a Certificate in Business from Columbia University. Solomon's technical expertise includes ML, NLP, Deep Learning, AWS, Data Scientist, Data Engineering, Sentiment Analysis, Research Scientist, language models, test, Python, GCP, Integration, Django, Javascript, Frontend, Backend, and Web. With 8.54 years of relevant experience, Solomon is a highly skilled and knowledgeable professional in the field of machine learning and data science.