Experience

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Solutions Design Analyst

Current

Fouts Bros Inc.

Sep 2025 – Present
  • Led a full redesign of an 80+ page website, modernizing the UI, overhauling the visual design, and implementing responsive layouts across mobile, tablet, and desktop devices, improving system scalability, maintainability, and performance.
  • Designed and deployed a Flask-based REST API integrated with Salesforce for dynamic data access; established CI/CD pipelines using Heroku for secure automated deployment.
  • Automated Salesforce workflows using Flows, reducing manual administrative work by 40%.
  • Reviewed pull requests and provided technical feedback during agile sprint cycles, helping junior engineers improve code quality and catch issues before production.
  • Documented system architecture, API integrations, and deployment procedures, enabling faster onboarding and reducing knowledge gaps across the team.

Salesforce Coordinator

Fouts Bros Inc.

Jun 2025 – Aug 2025
  • Built and improved 10+ interactive dashboards, enabling real-time KPI tracking and strategic reporting, helping teams make decisions 15% faster.
  • Configured data routing rules and field validation flows within Salesforce, improving data accuracy and minimizing manual corrections.
  • Designed and optimized Salesforce lead assignment and routing logic, reducing response times by 20% and eliminating ownership conflicts.

Software Developer (Intern)

DIY Money

May 2024 – Aug 2024
  • Developed onboarding and brokerage management interfaces using Flask and REST APIs, integrating live market data for account updates, cutting manual entry by 40%.
  • Implemented secure authentication using password hashing, input validation, and access controls to protect sensitive financial data.
  • Collaborated with backend engineers in agile sprints to optimize workflows and speed up delivery cycles.
  • Conducted peer code reviews to identify logic improvements, reducing post-deployment bugs by 25%.

Computing Infrastructure (Intern)

NSF Spatiotemporal Innovation Center

Aug 2022 – Dec 2022
  • Debugged TensorFlow deep learning models for satellite cloud detection, resolving runtime errors and improving model execution stability.
  • Identified computational bottlenecks in model training pipelines and validated output accuracy across multiple test cycles to ensure reliable results.