Julia Kroll
Staff Applied Engineer at Deepgram
Madison, Wisconsin, United States
Summary
🤩
Rockstar🎓
Top SchoolJulia Kroll is a Staff Applied Engineer with seven years of experience building production ML and language-focused systems, currently advancing speech and language infrastructure at Deepgram from customer-facing solutions to technical leadership. Her background blends hands-on machine learning engineering at WellSaid Labs and AWS with data engineering for Alexa, where she helped scale multilingual language pipelines and teach Alexa new skills. She specializes in self-hosted deployments, GPU inference, containerization, and bridging pre-sales to post-sales technical onboarding for enterprise customers. Trained in computer science and cognitive science, Julia brings a rare mix of linguistic curiosity and engineering rigor, informed by research experience in NLP visualization and large-scale data analysis. Based in Madison, Wisconsin, she consistently turns abstract ideas about human-computer language into deployable systems that improve how people interact with machines.
7 years of coding experience
10 years of employment as a software developer
Master of Science - MS, Computer Sciences, Master of Science - MS, Computer Sciences at University of Wisconsin-MadisonBachelor of Arts - BA, Computer Science, Cognitive Science, Bachelor of Arts - BA, Computer Science, Cognitive Science at Carleton College
Spanish, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (34)
pytorch10
deploying10
python10
machine-learning-models10
jupyter10
data-science10
mxnet10
machine-learning10
inference10
reinforcement-learning10
sagemaker10
amazon-sagemaker10
mlops10
huggingface10
deep-learning10
Programming languages (2)
Github contributions (5)
jkroll-aws/amazon-sagemaker-examples
Apr 2021 - Aug 2022
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Contributions:73 pushes, 96 branches in 1 year 4 months
sagemakeramazon-sagemakerdeep-learningreinforcement-learningamazon
Arjunbala/amazon-sagemaker-examples
Dec 2021 - Dec 2021
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Contributions:2 pushes in 5 days
sagemakerpythonamazon-sagemakermachine-learning-deploydata-science
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