Matthew Cavener

**github.com/matthew-cavener

matthew.cavener@gmail.com**

Software Developer with a particular interest in making applications users enjoy using and developers enjoy developing.

I also make games and tools for games to sharpen my skills and (sometimes) build fun things!

Experience

Software Engineer 2, divvyDOSE/Optum (Jan 2022 – Mar 2025)

• Developed a self-service app enabling users to sign up and track orders without agent assistance.
• Led design and development of an event-driven data pipeline using:
  • TypeScript-based AWS Lambda functions
  • SQS for message queuing
  • Optimized DynamoDB queries, improving efficiency and reducing costs across multiple apps.
• Built CI/CD pipelines in GitHub Actions leveraging Terraform to automate deployments.
• Mentored junior developers in:
  • Workflow optimization
  • Coding best practices
  • Code review processes.
• Created JUnit and Jest test suites, increasing test coverage from 0% to 85% for critical services.

Sr. Data Engineer, Nike (via IGNW) (Jan 2021 – Jan 2022)

• Led design and implementation of an ML-based synthetic data generation tool for robust testing.
• Developed Python ETL pipelines to improve data consistency in test environments.

Software Engineer, Carvana (July 2019 – Nov 2021)

• Designed and implemented new chatbot conversational flows, reducing customer service call volume.
• Developed A/B testing frameworks for chatbot messaging, increasing user engagement.
• Created proof-of-concept implementations for:
  • Graph database-based chatbot conversation paths.
  • NLP-based sentence structure analysis for information extraction.

Software Engineer, Nextiva (Mar 2018 – July 2019)

• Designed and implemented cloud-based microservices for an embedded chat widget.
• Developed and deployed an image upload feature to enhance chat functionality.
• Created a proof-of-concept chatbot for integration into the chat widget.

Software Developer, 7-Eleven Stores (May 2017 – Jan 2018)

• Automated deployment of discounts and promotions to retail locations.
• Maintained and enhanced locally hosted backend services for POS systems.

Skills

• Backend: Python (FastAPI, Flask, Django, Hug, Tornado), Node.js, .NET Core, Java (Spring Boot)
• Frontend: JavaScript/TypeScript, React, Next.js
• DevOps & Cloud: AWS (Lambda, EC2, DynamoDB, Fargate, S3, API Gateway, SQS, RDS, IAM), Terraform, Docker, Kubernetes, CI/CD (GitHub Actions, CircleCI)
• Data & Storage: SQL, NoSQL (DynamoDB, Neo4j, Redis), Pandas, NumPy, sklearn, TensorFlow
• Other: Unit & Integration Testing (pytest, Jest, JUnit), Git, Docker Compose, Bash/Zsh, Linux/UNIX

Education

B.S. in Physics, Oklahoma State University (2015)