ML Architecture at Zillow
Leading the Zestimate team's machine learning architecture, where I spearheaded the development of an interactive Comparative Market Analysis (CMA) platform. This initiative leverages Siamese Neural Networks to provide data-driven valuation tools, establishing new revenue channels while enhancing user engagement.
Orchestrated the modernization of our ML infrastructure through Python, Terraform, AWS, Kubeflow, and Metaflow, achieving $500k annual cost optimization and 95% reduction in operational incidents.
Revenue Optimization at OkCupid
Engineered subscription pricing optimization systems utilizing Wide & Deep learning architectures. Implemented comprehensive ML pipelines with Python, Keras, and TensorFlow, resulting in 6% revenue growth through systematic A/B testing and dynamic pricing strategies.
Enterprise Solutions at FactSet
Developed mission-critical systems including a CNN-based speaker identification platform for earnings calls, an ELMo/BiLSTM-powered company information extraction system, and an optimized document processing service achieving 66% performance improvement. Enhanced FactSet terminal's formula discovery, improving average rank precision from 5.6 to 2.3 through advanced language modeling.