Summary
Xiaoliang Zhu is a software engineer with 10 years of experience, currently building cloud-native systems as a Software Engineering Analyst at Goldman Sachs in the New York City area. He blends strong academic rigor—a 4.0 Vanderbilt degree in Mathematics and Computer Science—with hands-on work in big data, NLP, and cloud-based ETL pipelines. His background spans research on lifelong learning and catastrophic forgetting, production ML work fine-tuning T5 and Word2Vec models, and practical backend engineering creating RESTful APIs and automation pipelines. He has taught operating systems, programming, and mathematical data science, showing an ability to explain complex concepts and mentor others. Known as a quick learner who thrives in fast-paced, team-oriented environments, he pairs research curiosity with a focus on deployable, performance-optimized solutions. An understated detail: he has bridged wet-lab experimental work on silicon wafers with software and ML projects, reflecting uncommon cross-disciplinary versatility.
10 years of coding experience
2 years of employment as a software developer
High School Diploma, 99/100, High School Diploma, 99/100 at Suzhou High School
Bachelor's degree, Mathematics and Computer Science, minor in Economics, 4.00/4.00, Bachelor's degree, Mathematics and Computer Science, minor in Economics, 4.00/4.00 at Vanderbilt University
English, Chinese, Japanese