Summary
Overview
Work History
Education
Skills
Timeline
Generic
Corey Munn

Corey Munn

Washington ,DC

Summary

Results-driven Software Engineer with expertise in JavaScript, Python, and data visualization. Proven ability to architect impactful features and deliver AI-driven solutions in full-stack environments.

Overview

7
7
years of professional experience

Work History

Software Engineer

Secunetics
Washington, DC
10.2021 - Current
  • Architected and delivered full-stack features for Gobo, a government-facing SaaS platform for network performance monitoring and public comment analysis, using a React / Python (Flask) / PostgreSQL stack.
  • Owned the end-to-end full-stack development of the "Comment Review" dashboard - a system that uses AI to categorize, score substantiveness, and cluster similar public comments - enabling users to review comments up to 10x faster than the legacy system.
  • Built reliable Python microservices for a service-oriented backend, rigorously applying test-driven development (TDD) to achieve and sustain 100% test coverage across all services.
  • Contributed dozens of reusable React components, pages, and navigational elements to a shared frontend library, standardizing the UI, reducing code duplication, and streamlining data fetching for the engineering team.
  • Integrated features into GitLab CI/CD pipelines across staging environments for safe, automated deployment.

Onsite Consultant at USPS

LMI
Washington, DC
11.2019 - 10.2021
  • Collaborated with USPS Revenue and Financial Accounting (RAFA) team to improve fraud detection, claims processing, and financial reporting systems.
  • Helped develop a decision tree model to detect fraudulent claim patterns, contributing to the uncovering of a $1M+ fraud scheme in Las Vegas.
  • Integrated the model into CICRS, the automated claims platform, helping block suspicious activity before payments were issued.
  • Enhanced CICRS with system-level workflow improvements aimed at increasing data integrity and auditability.
  • Produced actionable insights for leadership by cleaning and analyzing financial datasets and preparing ad hoc reports.

Senior Analyst (Data Visualization)

LMI
Tysons Corner, VA
12.2018 - 11.2019
  • Supported the Maintenance and Availability Data Warehouse (MADW™) project, ensuring accurate Tableau dashboard refreshes, and validating data consistency across DoD systems.
  • Developed a new interactive Tableau dashboard to expand MADW’s analytics suite, enhancing decision-making for maintenance and logistics teams.
  • Automated synthetic data generation using Python, creating statistically consistent mock datasets for secure client demonstrations.
  • Designed and deployed a contract vehicle dashboard enabling leadership to analyze trends in government project funding, leveraging dynamic filtering for granular insights.
  • Structured relational data models to support multi-level drill-downs, improving visibility into contract utilization and bid strategy.

Education

Bachelor of Science - Accounting

University of Miami
Miami, FL
05-2014

Skills

  • ReactJS
  • JavaScript & Typescript
  • HTML/CSS (& frameworks like Tailwind)
  • Python (Flask, SQLAlchemy)
  • PostgreSQL
  • CI/CD & Git
  • Docker
  • Agile
  • Wireframing
  • User experience design
  • Data Visualization
  • Dashboard Design
  • Test-driven development

Timeline

Software Engineer

Secunetics
10.2021 - Current

Onsite Consultant at USPS

LMI
11.2019 - 10.2021

Senior Analyst (Data Visualization)

LMI
12.2018 - 11.2019

Bachelor of Science - Accounting

University of Miami