Carla Prieto
Machine Learning Engineer - Python, SQL, Kubernetes, Azure at U.S. Bank
Greater Seattle Area United States
Summary
👤
Senior🎓
Top SchoolCarla Prieto is a seasoned Machine Learning Engineer with 11 years of experience building and deploying production ML systems across finance, retail, and telecom. She combines cloud-native expertise (Azure, GCP, Kubernetes) with hands-on model development in Python and TensorFlow to move NLP and classification projects from research to scalable pipelines. At HundredX she led cross-functional efforts that preserved $120K+ in enterprise contracts by turning customer comments into actionable insights, and at U.S. Bank she architected a Kafka-backed ingestion flow moving 10TB/day into Azure SQL. Her background in distributed systems at Amazon and Spectrum Effect informs a pragmatic approach to reliability, CI/CD, and cost-conscious deployment. Trained at UC Berkeley’s School of Information, she also quietly saves teams time and money by designing data infrastructure and automated tests that reduce manual work and deployment costs.
11 years of coding experience
Bachelor of Science - BS Information Technology, Bachelor of Science - BS Information Technology at Tecnológico de MonterreyMaster of Science Data Science, Master of Science Data Science at UC Berkeley School of Information
Spanish, English
Stackoverflow
1reputation
0reached
0answers
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Github Skills (18)
javascript10
css10
codebase10
certification10
math10
nodejs10
react10
programming-tools9
data-science7
filesystem7
data-structure7
pandas7
python7
data-analysis7
command-line-tool7
Programming languages (3)
Github contributions (5)
Carla08/cracking-the-interview
Nov 2018 - Aug 2020
Contributions:9 pushes in 1 year 9 months
Carla08/resume
Aug 2024 - Sep 2025
Contributions:1 push, 1 branch in 1 year 1 month
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