Ivelin Angelov
Staff Machine Learning Engineer at Intuit
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolIvelin Angelov is a Staff Machine Learning Engineer in San Diego with 10 years of experience building end-to-end ML systems that move prototypes into production at scale. He has deep expertise in cloud-native ML workflows, Kubeflow Pipelines, and accelerator-backed data-parallel training, and has led design and maintenance of 40+ models and pipelines for Google Cloud customers. His background spans applied deep learning for 3D semantic segmentation, edge-deployed computer vision, and automated trading systems, reflecting a strong bridge between research-led modeling and production constraints. At Intuit he progressed from senior to staff ML engineer, demonstrating impact on large-scale product teams, while earlier startups show a penchant for fast iteration and shipped systems. He holds an MS in Data Science (3.95) and combines rigorous statistical foundations with hands-on engineering—an uncommon blend that powers both model accuracy and reliable deployment. Outside corporate roles he founded a widely used NLP news analytics platform and has practical experience deploying models on edge and cloud alike.
10 years of coding experience
14 years of employment as a software developer
Bachelor of Science in Computer Engineering, Computer Systems and Technologies, Bachelor of Science in Computer Engineering, Computer Systems and Technologies at University of RuseMaster of Science, Data Science, 3.95, Master of Science, Data Science, 3.95 at Southern Methodist University
Stackoverflow
12,783reputation
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mysql
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Github Skills (142)
python10
deep-learning10
parallel-processing10
neural-network10
data-science10
tensorflow10
machine-learning10
regex10
jupyterlab10
pandas9
ml9
pipeline9
jupyter-widget9
kubeflow-pipelines9
gnn9
Programming languages (8)
Github contributions (5)
post2web/nbloader
Nov 2016 - May 2019
Reuse code from Jupyter Notebooks
Contributions:24 commits, 2 PRs, 29 pushes in 2 years 7 months
pythonjupyter-notebookjupyterlabreusenotebooks
post2web/DDSCaseStudy1
Feb 2017 - Mar 2017
Contributions:68 commits, 3 PRs, 61 pushes in 21 days
smupythonsciencedata-sciencemachine-learning
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