Senior Machine Learning Scientist
Current• Successfully implemented fraud detection using Graph Neural Networks, as showcased in our blog post, leading to a substantial decrease in fraudulent activities.• Conducted comprehensive benchmarking of graph processing system technologies, aiding in informed technology selection for improved efficiency.• Contributed to data and release tooling processes, streamlining data pipelines and enhancing release procedures.• Led the end-to-end development of a merchant-facing product, collaborating across teams to deliver a high-impact solution.• See link for relevant blog posts• Key Technologies: PyTorch, Deep Graph Library (DGL), PySpark, Apache Airflow, Java, AWS, Kubernetes, Trino.