Jason Carter
Verified Expert in Engineering
AI Developer
United States
Member since January 12, 2017
EXPERTISE
BIO
With over 12 years of experience in software engineering and AI development, Jason has built large-scale machine learning systems for Fortune 500 companies and leading tech startups. His expertise lies in natural language processing (NLP), recommendation algorithms, and autonomous systems. He has worked extensively in healthcare, e-commerce, and logistics.
Portfolio
StreamEdge Analytics, LLC
Amazon Web Services (AWS), Graphics Processing Unit (GPU), Jupyter, Pandas...
OctoAI, Inc.
Python, PyTorch, Machine Learning, Testing, Natural Language Processing (NLP)...
Experience
Availability
Part-time
Preferred Environment
Amazon Web Services (AWS), Python, Agile, Pandas, PyTorch, Data Science, Convolutional Neural Networks (CNN), Docker, Containerization, Generative Pre-trained Transformers (GPT)
The most amazing...
...project I've developed was an advanced energy market trading algorithm with multiple machine learning (predictive) and optimization (prescriptive) models.
Work Experience
Lead Machine Learning Engineer
StreamEdge Analytics, LLC
2013 - Present
- Senior machine learning engineer on Comcast Labs' applied AI research and engineering team
- Owns the full stack and operationalization of voice and video analysis product offerings
- Develops and maintains advanced analytics and ML pipelines
- Key achievements:
- Architected, developed, and deployed the Comcast Machine Learning Infrastructure supporting inference for Xfinity Home Security cameras
- Implemented TensorFlow/OpenVINO object-detection models on AWS EKS/Kubernetes
- Implemented TensorFlow/OpenVINO object-detection models on AWS EKS/Kubernetes
Lead Machine Learning Engineer
StreamEdge Analytics, LLC
2013 - Present
- Senior machine learning engineer on Comcast Labs' applied AI research and engineering team
- Owns the full stack and operationalization of voice and video analysis product offerings
- Develops and maintains advanced analytics and ML pipelines
- Key achievements:
- Architected, developed, and deployed the Comcast Machine Learning Infrastructure supporting inference for Xfinity Home Security cameras
- Implemented TensorFlow/OpenVINO object-detection models on AWS EKS/Kubernetes
- Implemented TensorFlow/OpenVINO object-detection models on AWS EKS/Kubernetes
Experience
Active Learning Research : Department of Computer Sciences at George Mason University
Focused on active learning, a specialized machine learning approach where the algorithm interactively queries the user or information source to obtain desired outputs at new data points. This research has applications in optimal experimental design and adaptive AI systems.
Active Learning Research : Department of Computer Sciences at George Mason University
Focused on active learning, a specialized machine learning approach where the algorithm interactively queries the user or information source to obtain desired outputs at new data points. This research has applications in optimal experimental design and adaptive AI systems.
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