Summary
Shuyan Zhang is a systems engineer with 11 years of experience who blends production-grade system reliability work with applied machine learning and NLP research. Currently at Peblla, she has reduced critical incidents by 20% through versioned upgrades and automated alerts, and accelerated revenue reporting by 40% via scalable Stripe-based financial pipelines. Her background includes hands-on data engineering—integrating Snowflake with web products and building end-to-end ETL to turn JSON/XML into analysis-ready CSVs for non-technical stakeholders. While completing an MS in Electrical and Computer Engineering at Boston University, she built large labeled text datasets, corrected OCR errors with BERT-based seq2seq models, and introduced web scraping to streamline alumni data collection. Comfortable leading cross-functional teams, she pairs practical ops improvements with ML-informed data workflows to cut costs and speed decision-making. Based in Rockville, MD, she brings a rare mix of systems reliability, product integration, and applied NLP experience.
11 years of coding experience
1 year of employment as a software developer
Georgia Institute of Technology
Master of Science - MS, Electrical and Computer Engineering, Master of Science - MS, Electrical and Computer Engineering at 美国波士顿大学
Bachelor's degree, Information Engineering, Bachelor's degree, Information Engineering at 东南大学
Chinese, English