Uma Krishnaswamy is a Machine Learning Engineer at Weights & Biases since May 2023, previously serving as a Solutions Engineer at Deloitte and a Deep Learning Engineer at Genentech, where significant work included implementing a multimodal data fusion pipeline for predicting drug-induced liver disease. Prior experience also includes a data science internship at the Federal Reserve Board, focusing on Python code development for ETL frameworks and analysis of financial data, as well as a research assistantship at Berkeley Economics, where duties involved data collection and visualization. Uma's career began with a position as a Machine Learning Engineer Intern at DryvIQ, and includes roles in teaching data science topics as a teaching assistant. Uma holds dual Bachelor's degrees in Data Science and Economics from the University of California, Berkeley.
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