Rachel Chasin is a Staff Software Engineer in New York with 13 years of experience building ML-driven backend systems end-to-end. She combines practical machine learning (training and evaluation) with production infrastructure work, having launched ranking and classification models at Yelp and led signal pipelines and data warehouse adoption there. At Swiftly she continues to bridge model and systems development, applying data mining where model design and engineering are co-developed. Her background includes research in clinical NLP from MIT CSAIL and an early fraud-detection internship at Google, reflecting a habit of tackling messy, high-impact data problems. Colleagues rely on her to turn exploratory models into reliable, monitored services that scale.
13 years of coding experience
10 years of employment as a software developer
Master of Engineering (M.Eng.), Electrical Engineering and Computer Science, Master of Engineering (M.Eng.), Electrical Engineering and Computer Science at Massachusetts Institute of Technology
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Rachel Chasin - Staff Software Engineer at Swiftly, Inc.