• Develops Generative AI, and ML solutions for US west enterprise customers. • Certified in AWS Solutions Architect Associate, Machine Learning Specialty, and Data Analytics.• Designed and implements machine learning solutions on AWS leveraging services like SageMaker, Bedrock, Comprehend, Rekognition, and more.• Partnered cross-functionally with sales, business development, and AI/ML teams to drive customer adoption and revenue.• Publishes thought leadership content including… Show more • Develops Generative AI, and ML solutions for US west enterprise customers. • Certified in AWS Solutions Architect Associate, Machine Learning Specialty, and Data Analytics.• Designed and implements machine learning solutions on AWS leveraging services like SageMaker, Bedrock, Comprehend, Rekognition, and more.• Partnered cross-functionally with sales, business development, and AI/ML teams to drive customer adoption and revenue.• Publishes thought leadership content including AWS blogs, reusable code examples, and presentations from internal and public speaking events. • Acts as a technical liaison between customers and AWS product teams, providing feedback to improve offerings.• Develops and mentors an internal community of machine learning experts through training and knowledge sharing. Show less

• Created an introductory course demonstrating the use of AWS' Managed Machine Learning Services for their Machine Learning University team consisting of self-guided Jupyter notebooks built using Python.• Demonstrated how to build, train, and tune a machine learning model using Amazon SageMaker.• Built a public API to make inferences on the model using API Gateway and AWS Lambda.• Illustrated how to build a speech translation Alexa Skill with the use of Amazon Transcribe, Translate,… Show more • Created an introductory course demonstrating the use of AWS' Managed Machine Learning Services for their Machine Learning University team consisting of self-guided Jupyter notebooks built using Python.• Demonstrated how to build, train, and tune a machine learning model using Amazon SageMaker.• Built a public API to make inferences on the model using API Gateway and AWS Lambda.• Illustrated how to build a speech translation Alexa Skill with the use of Amazon Transcribe, Translate, and Polly. Show less

On a team of six individuals, installed 270 Vivonet point-of-sale system terminals throughout a Major League Baseball Stadium. Fixed and tested 30-50 software and hardware issues per game that were monitored by the project tracking software, Jira. Designed detailed documentation of help desk solutions and training materials in Confluence. Prepared for a World Series and All-Start Game by training new IT interns and employees.

Provided support for Vivonet and Netsuite POS hardware and software, Windows Server, Windows 2016. Conducted basic networking troubleshooting. Provided detailed documentation of help desk solutions and training materials. Responsible for the IT support of 9 General stores locations across the park, and 4 hotel locations in Yellowstone National Park.

Performed research on satellite light curves in relation to machine learning, artificial intelligence, and data mining. Conducted mathematical and numerical analyses with the use of Support Vector Machines and Principal Component Analysis. Implemented scientific papers and presented findings at the Midwest Machine Learning Conference, and Air Force Research Laboratory’s Information Directorate.