At BNY Mellon, I build fraud classification, Generative AI, and semantic search workflows supporting millions of financial transactions and 180K+ regulatory and client servicing records. I also contribute to scalable AI inference services for 28+ internal financial analytics applications using FastAPI, AWS SageMaker, and Kubernetes.
Previously at Airbnb, I developed Python and Django booking services handling 1.6M+ reservation records, improved pricing synchronization with Redis and Celery, and enhanced recommendation interfaces with React.js and TensorFlow. I enjoy applying machine learning, distributed data processing, and MLOps automation to make data products more reliable and useful.
