Summary
Akash Kulkarni is a Senior Machine Learning Engineer with 9 years of experience building large-scale retrieval, relevance, and ranking systems across search, recommendation, and ads, currently driving ML at Pinterest. He has a strong track record at Microsoft improving Bing’s query understanding and recall through Transformer-based models, model distillation, and ANN retrieval solutions, and has repeatedly shipped models that moved online metrics like DAU, precision, and user satisfaction. His strengths lie in turning ambiguous real-world problems into measurable learning objectives, designing end-to-end ML pipelines, and optimizing trade-offs between latency and accuracy. Academically grounded with a CS master’s and a thesis on anomaly detection using deep autoencoders, he pairs research rigor with production engineering—often building automated data-to-deployment workflows for broad partner use. Based in Minneapolis, he’s also known for a personable, fun-loving approach to computer science that helps him collaborate effectively across cross-functional teams.
9 years of coding experience
10 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at University of Minnesota
Bachelor of Engineering (BE), Computer Science, Bachelor of Engineering (BE), Computer Science at Visvesvaraya Technological University
Senior Seconday, Science, Senior Seconday, Science at Army Public School, Jodhpur
English, Hindi, Marathi, Kannada