Caroline Jazmi
Bellevue, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolCaroline Jazmi is an AI software engineer with 8 years of experience building production ML systems, specializing in computer vision and multimodal pipelines. She designs and ships end-to-end solutions—from data engineering and model development to deployment and monitoring—using Python, PyTorch, ONNX, and Azure. Her recent roles span multimodal agricultural vision at Pollen Systems, LLM-driven therapeutic applications at COCO Health, and automation-focused AI work at Boeing. With an MS in Artificial Intelligence from UT Austin and published research in verifiable ML and healthcare AI, she blends rigorous research with pragmatic MLOps. Known as a futures thinker and creative technologist, she brings an uncommon mix of hands-on engineering and cross-functional collaboration to move prototypes into reliable production.
8 years of coding experience
1 year of employment as a software developer
Bachelor's degree Computer Science and Systems, Bachelor's degree Computer Science and Systems at University of WashingtonMaster of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at The University of Texas at Austin
English, French
Github Skills (9)
generative10
nodejs10
ipfs10
javascript10
python10
machine-learning2
storage1
scalability1
google-colaboratory1
Programming languages (2)
Github contributions (5)
eni-lorac/hive
Dec 2021 - Dec 2021
Generative Colab notebooks for Pollinations.AI
Contributions:3 pushes in 6 days
colab-notebookspythonmachine-learningnotebooksgenerative
pollinations/tesselation-in-spacetime
Jun 2021 - Jun 2021
Contributions:17 commits, 12 pushes in 7 days
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