Hi, I’m Eric Parker—a Senior AI/ML Engineer and Data Scientist who loves turning complex data into practical, scalable AI solutions. I specialize in machine learning, statistical analysis, and data modeling, and I’m proficient in Python, R, SQL, and cloud platforms like AWS and Azure. I thrive leading cross-functional teams to deploy AI-driven automation within scalable microservices, delivering measurable gains in efficiency and decision speed. I’ve deployed models with TensorFlow and Keras for real-time decision-making, built NLP-powered customer interactions, and integrated AI into production pipelines using CI/CD, Docker, Kubernetes, and cloud services. My work has delivered tangible results, including a 25% improvement in predictive accuracy, a 30% reduction in processing time, and a 40% boost in customer engagement.

Eric Parker

Hi, I’m Eric Parker—a Senior AI/ML Engineer and Data Scientist who loves turning complex data into practical, scalable AI solutions. I specialize in machine learning, statistical analysis, and data modeling, and I’m proficient in Python, R, SQL, and cloud platforms like AWS and Azure. I thrive leading cross-functional teams to deploy AI-driven automation within scalable microservices, delivering measurable gains in efficiency and decision speed. I’ve deployed models with TensorFlow and Keras for real-time decision-making, built NLP-powered customer interactions, and integrated AI into production pipelines using CI/CD, Docker, Kubernetes, and cloud services. My work has delivered tangible results, including a 25% improvement in predictive accuracy, a 30% reduction in processing time, and a 40% boost in customer engagement.

Available to hire

Hi, I’m Eric Parker—a Senior AI/ML Engineer and Data Scientist who loves turning complex data into practical, scalable AI solutions. I specialize in machine learning, statistical analysis, and data modeling, and I’m proficient in Python, R, SQL, and cloud platforms like AWS and Azure. I thrive leading cross-functional teams to deploy AI-driven automation within scalable microservices, delivering measurable gains in efficiency and decision speed.

I’ve deployed models with TensorFlow and Keras for real-time decision-making, built NLP-powered customer interactions, and integrated AI into production pipelines using CI/CD, Docker, Kubernetes, and cloud services. My work has delivered tangible results, including a 25% improvement in predictive accuracy, a 30% reduction in processing time, and a 40% boost in customer engagement.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent
Afar
Advanced
Javanese
Intermediate

Work Experience

Senior AI/ML Engineer and Data Scientist at Aptean
September 1, 2025 - September 1, 2025
Directed AI-driven automation strategies within scalable microservices, boosting operational efficiency and reducing processing time by 30%. Led deployment of complex ML models using TensorFlow and Keras, improving predictive accuracy by 25% and optimizing real-time decision-making. Managed development of advanced NLP models for customer interactions (sentiment analysis, chatbots, and automated workflows). Spearheaded integration of AI solutions with AWS Lambda and Azure Kubernetes, reducing infrastructure deployment time by 40%.
AI/ML Engineer at Amazon
January 1, 2021 - January 1, 2021
Innovated real-time anomaly detection systems to optimize operational decision-making, achieving a 25% reduction in downtime and improved system reliability by 20%. Built scalable AWS-based cloud architectures (Lambda, S3) to enhance reliability and resource efficiency. Collaborated with cross-functional teams to productionize AI models, maintaining low latency. Implemented end-to-end automation using CI/CD pipelines (Jenkins, GitHub Actions) to deploy and update ML models efficiently.
Data Scientist at Cigna Healthcare
January 1, 2016 - January 1, 2016
Developed predictive models for health risk assessments using TensorFlow and Keras, improving healthcare outcomes and resource allocation by 15%. Enhanced patient engagement via NLP-driven chatbots and automated summaries, boosting satisfaction by 40%. Optimized data pipelines with AWS Glue and Redshift, speeding data processing and insight generation. Collaborated across teams to integrate ML models with healthcare systems, enabling real-time decision-making. Delivered actionable insights through Tableau visualizations and communicated concepts to non-technical stakeholders to align AI initiatives with business goals.
Machine Learning Engineer at Duke Energy Corporation
December 1, 2008 - December 1, 2008
Guided deployment of ML algorithms across energy systems, enabling smarter grid management and reducing energy loss by 15%. Optimized NLP models for customer service to improve accuracy and reduce average handling time by 25%. Led data pipeline management for model training, ensuring smooth data flow across distributed systems. Designed APIs for real-time integration of ML models into mobile and web apps, improving user experiences in critical services. Implemented ML workflows using Azure Data Factory, enhancing cross-team collaboration and deployment efficiency.
Machine Learning Engineer at Duke Energy Corporation
December 31, 2008 - December 31, 2008
Directed ML deployments across energy systems for smarter grid management, reducing energy loss by 15%. Optimized NLP for customer service to improve accuracy and reduce handling time by 25%. Led data pipeline management, enabling large-scale model training and smooth data flow. Designed APIs for real-time ML model integration in mobile and web apps. Implemented ML workflows using Azure Data Factory to boost deployment efficiency.

Education

Master of Science in Artificial Intelligence at University of Arizona, Tucson, AZ
September 1, 2004 - May 1, 2008
Bachelor of Science in Mathematics and Computer Science at University of Arizona, Tucson, AZ
August 1, 2000 - August 1, 2004
Master of Science in Artificial Intelligence at University of Arizona
September 1, 2004 - May 1, 2008
Bachelor of Science in Mathematics and Computer Science at University of Arizona
August 1, 2000 - August 1, 2004
Master of Science in Artificial Intelligence at University of Arizona, Tucson, AZ
September 1, 2004 - May 1, 2008
Bachelor of Science in Mathematics and Computer Science at University of Arizona, Tucson, AZ
August 1, 2000 - August 1, 2004
Master of Science in Artificial Intelligence at University of Arizona
September 1, 2004 - May 1, 2008
Bachelor of Science in Mathematics and Computer Science at University of Arizona
August 1, 2000 - August 1, 2004
Master of Science in Artificial Intelligence at University of Arizona
September 1, 2004 - May 1, 2008
Master of Science in Artificial Intelligence at University of Arizona, Tucson, AZ
September 1, 2004 - May 1, 2008
Bachelor of Science in Mathematics and Computer Science at University of Arizona, Tucson, AZ
August 1, 2000 - August 1, 2004
Master of Science in Artificial Intelligence at University of Arizona, Tucson, AZ
September 1, 2004 - May 1, 2008
Bachelor of Science in Mathematics and Computer Science at University of Arizona, Tucson, AZ
August 1, 2000 - August 1, 2004

Qualifications

AWS Certified Developer - Associate
January 11, 2030 - January 1, 2027
Google LLM Prompting with Gemini
January 11, 2030 - November 7, 2025
Genesys Cloud Technologies Certification
January 11, 2030 - November 7, 2025
AWS Certified Developer - Associate
January 11, 2030 - December 31, 2027
Google LLM Prompting with Gemini
January 11, 2030 - November 7, 2025
Genesys Cloud Technologies Certification
January 11, 2030 - November 7, 2025
AWS Certified Developer - Associate
January 11, 2030 - November 11, 2025
Google LLM Prompting with Gemini
January 11, 2030 - November 11, 2025
Genesys Cloud Technologies Certification
January 11, 2030 - November 11, 2025
AWS Certified Developer - Associate
January 11, 2030 - December 31, 2027
Google LLM Prompting with Gemini
January 11, 2030 - November 11, 2025
Genesys Cloud Technologies Certification
January 11, 2030 - November 11, 2025
AWS Certified Developer - Associate
January 11, 2030 - December 31, 2027
Google LLM Prompting with Gemini
January 11, 2030 - November 11, 2025
Genesys Cloud Technologies Certification
January 11, 2030 - November 11, 2025
AWS Certified Developer - Associate
January 11, 2030 - January 1, 2027
Google LLM Prompting with Gemini
January 11, 2030 - November 11, 2025
Genesys Cloud Technologies Certification
January 11, 2030 - November 11, 2025
AWS Certified Developer - Associate
January 11, 2030 - January 1, 2027
Google LLM Prompting with Gemini
January 11, 2030 - November 11, 2025
Genesys Cloud Technologies Certification
January 11, 2030 - November 11, 2025

Industry Experience

Energy & Utilities, Healthcare, Software & Internet, Computers & Electronics, Professional Services, Retail, Media & Entertainment, Education