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Software developer with a focus on intelligence and devices, building scalable solutions using AWS serverless and container technologies. Experienced in Python and C# development, secure cloud architectures, and data-driven analytics for visualization and forecasting.…

Noah Wallace

Web Developer, Programmer, Developer, +5

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Software developer with a focus on intelligence and devices, building scalable solutions using AWS serverless and container technologies. Experienced in Python and C# development, secure cloud architectures, and data-driven analytics for visualization and forecasting.…

Available to hire

Software developer with a focus on intelligence and devices, building scalable solutions using AWS serverless and container technologies. Experienced in Python and C# development, secure cloud architectures, and data-driven analytics for visualization and forecasting.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Beginner

Beginner

Beginner

Beginner

Beginner

Beginner

Beginner

Beginner

Language

English

Fluent

German

Beginner

Work Experience

Software Developer / Engineer at Advances Network

July 1, 2022 - Present

Leveraged AWS services including Lambda, EC2, S3, and CloudWatch to deliver scalable and reliable solutions. Implemented security best practices with IAM roles/policies, network security groups, and encryption. Containerized Lambda functions using Docker to improve portability and security. Used RDS for database management and wrote SQL to support AWS QuickSight data visualizations. Built serverless functions in Python and C# with cost/performance optimizations. Used Azure DevOps for version control and CI/CD pipelines. Automated infrastructure provisioning with Infrastructure as Code using CloudFormation and Terraform.

Python Developer

August 1, 2021 - December 1, 2021

Machine learning project focused on a Hockey Playoff Predictor. Collected data from multiple sources, compiled, organized, and cleaned datasets using Pandas. Visualized data with Matplotlib, compared multiple machine learning algorithms using scikit-learn, and implemented statistical models including linear regression, logistic regression, SVM, and Bayesian regression. Applied Principal Component Analysis for dimensionality reduction. Practiced Agile development within the project workflow.