Jarid Siewierski is a Machine Learning Engineer based in Denver with nine years of hands-on experience building production ML and NLP systems for healthcare, robotics, and telecom domains. He has led NLP efforts at a startup to deploy hybrid retrieval-and-rule chat services (including a custom AIML editor for non-technical users) and productionized models and services on AWS ECS and EC2. At Charter he combined systems engineering, automation (Ansible/Jenkins), and Linux scripting to manage large-scale device deployments and reduced software rollout time across 300+ servers. More recently he joined Boulder Imaging to continue applying ML to real-world problems, and he has practical experience integrating models with robotics (ROS) and custom TTS tooling. Jarid’s background blends product-minded ML engineering with operational systems skills—making him as comfortable iterating on model UX for caregivers as he is automating infra for reliable deployment. Colleagues describe him as a tech-curious problem solver who turns prototype ideas into usable services for non-technical teams.
9 years of coding experience
6 years of employment as a software developer
Certificate Data Science Immersive, Certificate Data Science Immersive at Galvanize Inc
Bachelor of Science in Computer Science, Bachelor of Science in Computer Science at University of Denver
A graphical AIML editor written in python and pyqt.
Contributions:286 pushes, 3 branches, 1 tag in 2 years 6 months
aimlpythonpyside2pyside6pyqt5
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Jarid Siewierski - Machine Learning Engineer at Boulder Imaging