Anagha Kulkarni
Senior Applied ML Scientist at JPMorganChase
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolAnagha Kulkarni is a senior applied ML scientist with a decade of experience delivering production-grade NLP and information extraction systems across healthcare, finance, and research settings. She is currently at JPMorgan Chase, where she focuses on scalable, real-world ML solutions. Prior to JPMorgan, she developed end-to-end NLP inference services at Invitae, including context-aware BERT models, LayoutLM-based NER and relation extraction, and sophisticated semantic search pipelines with FAISS. She earned a PhD in Computer Science from Arizona State University and has a strong teaching background, having served as a teaching assistant during her studies. Based in Seattle, she combines rigorous research with hands-on engineering to turn complex data problems into actionable insights.
11 years of coding experience
10 years of employment as a software developer
Master of Science (MS), Computer Science, Master of Science (MS), Computer Science at University of Southern CaliforniaBachelor of Engineering (BEng), Computer Science, 81/100, Bachelor of Engineering (BEng), Computer Science, 81/100 at Gogte Institute of TechnologyDoctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Ira A. Fulton Schools of Engineering at Arizona State University
English, Marathi, Hindi
Github Skills (2)
jekyll5
yard3
Programming languages (1)
Github contributions (5)
AnaghaK/anaghak.github.io
Oct 2018 - Feb 2023
Contributions:1 release, 38 pushes, 1 tag in 4 years 4 months
TathagataChakraborti/hrk
Oct 2016 - Feb 2018
Contributions:2 PRs, 5 pushes, 1 branch in 1 year 4 months
slowdeep-learningeegmaniatrain
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