Shelby Anderson

• Founded and launched CrumbCRM, a cloud-based SaaS CRM platform for managing clients, interactions, follow-ups, documents, and customer relationships.
• Designed and developed the full-stack application using React, Spring Boot/Java, MySQL, and AWS, building RESTful APIs with Spring Boot and Spring Data JPA/Hibernate.
• Implemented secure authentication and authorization using Spring Security, AWS Cognito, and JWT-based session handling.
• Built subscription management and payment processing workflows using Stripe Billing.
• Developed document storage and file management capabilities using Amazon S3.
• Designed and deployed cloud infrastructure using AWS services including ECS, RDS, CloudFront, Route 53, and CloudWatch.
• Implemented AI-assisted features using the OpenAI API to generate meeting summaries and client insights.
• Established CI/CD pipelines and automated deployment workflows to support reliable application releases and infrastructure management.

• Evaluated AI-generated software solutions across a variety of programming languages, frameworks, and real-world codebases.
• Designed complex coding prompts and test scenarios to identify model weaknesses, edge cases, and failure modes.
• Assessed AI-generated code for correctness, maintainability, performance, security considerations, and adherence to software engineering best practices.
• Compared outputs from multiple AI models and provided detailed technical analysis to improve model quality and reliability.
• Performed code reviews on AI-generated solutions, identifying bugs, logic errors, architectural concerns, and optimization opportunities.
• Contributed structured technical feedback used in the training and refinement of large language models.

• Played a key role in modernizing a legacy ColdFusion monolithic codebase by designing and implementing Java Spring Boot and Kotlin microservices, improving system scalability, maintainability, and performance.
• Contributed significantly to the migration of infrastructure from Pivotal Cloud Foundry (PCF) to a Kubernetes-based system on AWS, leveraging Argo for continuous delivery and GitOps workflows to enhance deployment efficiency and system reliability.
• Developed a system of standardized CI/CD pipelines using Concourse, enabling consistent and reliable build and deployment processes across multiple teams and repositories.
• Collaborated with cross-functional teams to migrate their existing pipelines to the new standardized system, providing guidance, troubleshooting support, and documentation to ensure smooth transitions.
• Designed and implemented secure RESTful Spring Boot APIs and event-driven architectures, enabling reliable communication between microservices.

Worked for Chemical Abstracts Service (CAS) as primary client

• Developed and deployed software solutions for CAS, a leading provider of chemical information for scientific researchers and patent experts worldwide, contributing to the CAS STNext application.
• Utilized Java and AngularJS to design and implement new features, improve product performance, and manage releases for the CAS STNext application.
• Orchestrated efficient large-scale software deployments using Jenkins, ensuring minimal downtime and seamless integration with existing systems.
• Collaborated with developers, QA engineers, and product managers to identify and resolve defects, enhancing overall product reliability and user experience.
• Supported Manifest Solutions’ Open Source Hackathon at Columbus State University, mentoring students and assisting with Java-based projects to foster learning and innovation.

• Serviced loans for multiple mortgage companies, ensuring accuracy and compliance with regulatory standards while maintaining a high level of customer satisfaction.
• Conducted internal audits to identify process inefficiencies and provided actionable feedback, leading to improved team performance and operational effectiveness.
• Managed competing priorities in a fast-paced environment, consistently meeting deadlines and maintaining a high level of attention to detail.