Backend software developer at Robinhood, building and deploying scalable backend services for core financial products using Python/Django, Go, PostgreSQL, Kafka, Redis, and Kubernetes. PhD graduate in Statistics from the University of Toronto, specializing in generative modeling, anomaly detection, and stochastic differential equations. Experienced in Python, R, MATLAB, SQL, C++, and machine learning frameworks like PyTorch and TensorFlow. Strong academic foundation with a background in pathobiology, statistics, and mathematics.