Bolor Erdene
Sr Applied ML Engineer at JPMorgan Chase & Co.
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolBolor Erdene is a senior applied ML engineer with eight years of research and industry experience building production-grade machine learning systems for ad tech and recommendation products. She designs end-to-end solutions—from Spark/Scala data pipelines and model training with XGBoost, PyTorch and BERT to CPU/GPU serving and offline backtesting—currently shaping guidance research for eBay Ads and now at JPMorgan Chase. Her background combines adversarial ML research (including a contributed chapter on game theory and ML for cyber security) with applied work in NLP, CTR prediction, bid and keyword recommendations, and fashion-recommendation prototypes deployed as APIs. A strong quantitative foundation (Math Olympiad awards, advanced coursework in statistical learning and matrix computations) complements hands-on engineering across AWS, Docker, Hadoop and Spark, enabling her to translate business proposals into robust, debuggable production models. She often bridges research and product teams, turning security-aware insights into scalable ML features that improve go-to-market decisions.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD dropped out (MS), Computer Science, Doctor of Philosophy - PhD dropped out (MS), Computer Science at Penn State UniversityHigh School Diploma, Specialized in Math and Physics, High School Diploma, Specialized in Math and Physics at 11th Public Mathematics and Physics Specialized High School
English, Mongolian
Github Skills (3)
computer-vision1
language-recognition1
deep-learning1
Programming languages (1)
Github contributions (5)
bolor23erdene/bolor23erdene.github.io
Jan 2019 - Feb 2020
Contributions:192 pushes, 1 branch in 1 year 2 months
bolor23erdene/deep_learning
Jun 2022 - Jul 2022
Contributions:138 pushes in 14 days
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