Prerna Dhareshwar is a Machine Learning engineer based in San Francisco with two years of hands-on experience building ML systems and driving customer success at startups. She has moved machine learning from research to production across roles at Voxel51, Instrumental, and Pure Storage, shipping NLP-based log anomaly detectors and time-series forecasting tools that reduced manual effort in manufacturing. A Stanford MS graduate who taught advanced AI and NLP courses, she blends deep technical skills (PyTorch, RNNs, VAEs) with a customer-focused mindset to close the gap between models and operational impact. Her background in aerospace research and low-data tomography signals a knack for tackling ill-posed problems and extracting value from limited data.
2 years of coding experience
6 years of employment as a software developer
Indian Institute of Technology Madras
Master of Science - MS, Management Science and Engineering, Master of Science - MS, Management Science and Engineering at Stanford University
English, Hindi, Kannada, Konkani, Sanskrit, Japanese
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