Jacob Rich
Community Director at Customer Support & Success Executive Brain Trust
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolJacob Rich is a Community Director and machine learning leader with a decade of experience applying computer vision and AI to real-world products, from mobile AR and advertising analytics to enterprise customer support automation. As Director of Machine Learning at Y Meadows he builds systems that triage, enrich, route, and resolve support requests autonomously, freeing agents for higher-value interactions, and he also convenes a 700+ member CS Executive Brain Trust to exchange best practices. His background includes AI engineering at Apple and research-driven roles developing 3D pose estimation, semantic segmentation, and action recognition, grounded in an MS from NYU Courant and a BS in Mathematics. He combines rigorous research skills with product-focused deployment experience, uniquely positioning him to translate ML prototypes into operational, customer-facing solutions.
10 years of coding experience
7 years of employment as a software developer
Master of Science (M.S.) Scientific Computing, Master of Science (M.S.) Scientific Computing at New York University Courant Institute of Mathematical SciencesUMBC
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (36)
python10
machine-learning10
ml10
deep-learning10
segmentation10
tensorflow10
deep-neural-networks10
neural-network10
pose9
named-entity-recognition9
keras-tensorflow9
human-pose-estimation9
text-classification9
keras9
cython9
Programming languages (4)
Github contributions (5)
jricheimer/keras-metric-learning
Feb 2018 - Apr 2019
Contributions:12 commits, 11 pushes, 1 branch in 1 year 2 months
octiapp/KerasPersonLab
May 2018 - Mar 2019
Keras-tensorflow implementation of PersonLab (https://arxiv.org/abs/1803.08225)
Contributions:14 commits, 12 pushes, 2 branches in 10 months
keras-tensorflowhuman-pose-estimationinstance-segmentationsegmentationcomputer-vision
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