I am a Machine Learning Engineer with over 5 years of experience designing and deploying end-to-end AI solutions to automate complex business processes. I have a proven track record building intelligent systems using machine learning, natural language processing, and statistical modeling at enterprise scale. I specialize in MLOps, API integration, and cloud-based deployment leveraging platforms like GCP and Docker. My passion lies in developing scalable AI-driven automation tools, collaborating cross-functionally, and driving enterprise transformation through cutting-edge AI agents and internal large language model-powered applications. I continuously strive to innovate in the AI space while improving the operational workflows within organizations.

Jeremy Rico

I am a Machine Learning Engineer with over 5 years of experience designing and deploying end-to-end AI solutions to automate complex business processes. I have a proven track record building intelligent systems using machine learning, natural language processing, and statistical modeling at enterprise scale. I specialize in MLOps, API integration, and cloud-based deployment leveraging platforms like GCP and Docker. My passion lies in developing scalable AI-driven automation tools, collaborating cross-functionally, and driving enterprise transformation through cutting-edge AI agents and internal large language model-powered applications. I continuously strive to innovate in the AI space while improving the operational workflows within organizations.

Available to hire

I am a Machine Learning Engineer with over 5 years of experience designing and deploying end-to-end AI solutions to automate complex business processes. I have a proven track record building intelligent systems using machine learning, natural language processing, and statistical modeling at enterprise scale. I specialize in MLOps, API integration, and cloud-based deployment leveraging platforms like GCP and Docker.

My passion lies in developing scalable AI-driven automation tools, collaborating cross-functionally, and driving enterprise transformation through cutting-edge AI agents and internal large language model-powered applications. I continuously strive to innovate in the AI space while improving the operational workflows within organizations.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert

Work Experience

AI Automation Engineer at CVS Health
January 1, 2021 - Present
Led the design and deployment of AI-driven automation systems to streamline internal data operations, reduce manual DBA workload, and accelerate data migration processes using custom-built agents integrated with enterprise tools. Built and maintained end-to-end ML pipelines encompassing data ingestion (ETL), preprocessing, model training, and deployment to enable continuous learning and monitoring in enterprise-scale production environments. Developed and deployed ML models such as K-Means clustering, decision trees, and linear regression to a cloud-based environment (GCP) to support data-driven decision-making and automate key operational workflows. Engineered APIs to connect AI models with internal platforms, enabling seamless integration of intelligent workflows into business systems and improving scalability of AI tools across departments. Collaborated with cross-functional stakeholders in engineering, product, and data teams to identify and deliver automation opportunities aligned
Machine Learning Engineer at Uniquify, Inc.
December 31, 2024 - August 27, 2025
Constructed Python code for machine learning projects related to NLP, computer vision, and classification problems. Trained deep neural network models to enhance accuracy and performance on specific project tasks using PyTorch. Tracked and compared models with MLFlow, accounting for evaluation metrics, latency, and memory constraints. Created automated pipelines to test, package, and deploy applications using GitLab CI/CD, Docker, and Kubernetes on AWS.
AI Automation Engineer at CVS Health
January 1, 2024 - Present
Led the design and deployment of AI-driven automation systems to streamline internal data operations, reduce manual DBA workloads, and accelerate data migration using custom-built agents integrated with enterprise tools. Built and maintained end-to-end ML pipelines encompassing data ingestion, preprocessing, model training, and deployment enabling continuous learning and monitoring in enterprise-scale production environments. Developed and deployed ML models such as K-Means clustering, decision trees, and linear regression in a cloud environment (GCP) to support data-driven decision-making and automate key operational workflows. Engineered APIs to connect AI models with internal platforms, enabling seamless integration of intelligent workflows into business systems and improving scalability of AI tools across departments. Collaborated with cross-functional stakeholders in engineering, product, and data teams to identify and deliver automation opportunities aligned with organizational p
Machine Learning Engineer at Uniquify, Inc.
December 31, 2024 - August 27, 2025
Constructed Python code for machine learning projects related to NLP, computer vision, and classification problems. Trained deep neural network models to enhance accuracy and performance on specific project tasks using PyTorch. Tracked and compared models with MLFlow, accounting for evaluation metrics, latency, and memory constraints. Created automated pipelines to test, package, and deploy applications using GitLab CI/CD, Docker, and Kubernetes on AWS.

Education

M.S. Computer Science: AI and Machine Learning at CSU Fullerton
January 1, 2018 - January 1, 2020
B.S. Earth System Sciences at UC Irvine
January 1, 2013 - January 1, 2017
M.S. Computer Science: AI and Machine Learning at CSU Fullerton
January 1, 2020 - January 1, 2020
B.S. Earth System Sciences at UC Irvine
January 1, 2017 - January 1, 2017

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Software & Internet, Financial Services