▧ Developed and deployed two trading systems on AWS, collaborating with the quantitative research team to integrate 10+ trading algorithms▧ Established a strategy monitoring system using Grafana, enabling real-time risk assessment and strategy performance visualization▧ Engineered a low-latency data pipeline by developing a dependable backend that directly communicates to stock exchanges to support trading activities and quantitative research

▧ Spearheaded the enhancement of an NLP classification model for precision marketing by leveraging SQL for data extraction and retraining the model using Google's BERT, achieving a 35% increase in accuracy for user classification▧ Developed and maintained data pipelines deployed on Microsoft Azure, utilizing Python and SQL for data extraction from Kafka, cleaning, and storage into PostgreSQL