Ashish Srinivasa is a Senior Machine Learning Engineer with 8 years of experience building large-scale search and ranking systems, currently driving Siri & Information Intelligence at Apple after leading applied science for Enterprise Search at Salesforce. He combines deep learning and NLP expertise to design production-ready reranking and semantic retrieval models, having shipped transformer-based architectures and an open-source library for training and serving deep search relevance models at enterprise scale. His work at Salesforce produced measurable gains (e.g., a 3% MRR lift), multiple patent filings, and a 100x increase in training throughput that enabled thousands of models to be trained. Ashish’s background spans industry and research—from USC and Stanford programs to hands-on projects at ISI—where he built entity/knowledge-graph tooling and domain-specific search pipelines. Comfortable across the ML lifecycle, he blends experimentation, robust training/inference practices, and pragmatic engineering to reduce model drift and accelerate deployment. An operator who bridges research and product, he quietly amplifies impact through open-source tooling and production optimizations.
8 years of coding experience
9 years of employment as a software developer
Master of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at University of Southern California
Bachelor of Technology (B.Tech.) Information Technology, Bachelor of Technology (B.Tech.) Information Technology at National Institute of Technology Karnataka
Artificial Intelligence Professional Program Artificial Intelligence, Artificial Intelligence Professional Program Artificial Intelligence at Stanford University
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Ashish Srinivasa - Senior Machine Learning Engineer at Apple