Summary
Ying Huang is an independent software developer with 16 years of experience building cloud-native, high-performance systems and AI-driven trading platforms. She combines deep expertise in distributed systems, containerization, and GPU-accelerated ML to architect production-grade pipelines that process millions of time-series records and support continuous training at low operational cost. Her background spans FinTech, high-frequency trading, and enterprise integrations—having built an automated trading stack that ingests 1.14M+ historical points and a multi-modal stock-selection pipeline using FinBERT, Chronos-T5, and XGBoost. Prior roles at Cohesity and IMVU show strong integration and scalability chops across Azure Sentinel integrations, Spark/Kafka data pipelines, and large-scale backend refactors. She’s practical about operational excellence, codifying MLOps and DevOps patterns (Git worktrees, CI/CD, WandB, intelligent GPU scheduling) to keep experiments reproducible and deployments reliable. Based in Redwood City, Ying blends algorithmic creativity with production discipline, demonstrated by a reinforcement-learning FLAG-Trader and cost-optimized serverless GPU orchestration.
16 years of coding experience
15 years of employment as a software developer
Bachelor's degree Computer science, Bachelor's degree Computer science at Tianjin University
Master's degree Computer Science, Master's degree Computer Science at Maharishi University of Management
Chinese