Matthew Rinker

Software Developer, Consultant, and Data Scientist

Matthew Jeffrey Rinker

Experience

Fast Enterprises
Implementation Consultant
Iowa Dept. of Transportation, MVD360 Project
August 2025 – Present
Ankeny, IA
  • Technical Leadership: Lead Developer for the Driver Control Subsystem. Using my industry-specific knowledge and technical background to guide Requirements gathering and system development while mentoring a team of junior developers.
Missouri Dept. of Revenue, FUSION Project
July 2023 – August 2025
Jefferson City, MO
  • Requirements Gathering & Development: Partnered with client SMEs to define business needs and led requirements gathering and development for the Mandatory Financial Responsibility, Accidents, and Administrative DWI workflows.
  • Stakeholder Communication: Acted as the primary point of contact between the project team and the General Counsel’s Office Transportation Division. Leading Development, Testing, and Training efforts for both the Administrative Alcohol and Mandatory Financial Responsibility Hearing Processes.
  • Mentorship & Team Support: Mentored junior developers, providing guidance on requirements analysis, technical design, and overall best practices.
City of Portland, Revenue Div., ITS Project
February 2021 – July 2023
Portland, OR
  • Stakeholder Collaboration: Met directly with client stakeholders to update and enhance existing software solutions to solve specific business problems.
  • Project & System Ownership: Personally managed the Modernized eFiling (MeF) interface and Reporting subsystem.
  • Tax Compliance Solutions: Designed, implemented, and maintained software supporting tax compliance, while leading data aggregation, visualization, and analysis of business tax compliance for the City of Portland; developed algorithms to evaluate non-filer leads for property taxes.
Data Annotation Tech
Data Analyst
Freelance (Remote)
February 2024 – Present
  • Large Language Model (LLM) Training: Assist in training LLMs by analyzing and grading conversations between the Model and users. Specializing in validating and correcting code written by LLMs.
Husky Energy
Financial Analyst Intern
Dublin, OH
June 2019 – August 2019
  • Data Analytics & Visualization: Refactored monthly reporting workflows to streamline data aggregation and enhanced financial reports with responsive, interactive visualizations to support more effective analysis and decision-making.
Denison University
Student Researcher
Granville, OH
  • Research & Algorithm Development: Conducted research under Dr. Ashwin Lall on the k-Regret Database Operator; developed a model extending coverage to monotonically decreasing utility functions and co-authored a paper submitted to academic conferences.

Projects

  • k-Regret (C++ Library & Command-Line Tool): Implemented an open-source C++ tool utilizing the Cube algorithm for k-regret minimization on large datasets, with flexible file I/O (filesystem support, custom separators) and modular CMake-based design for scalability and reproducibility.

Programming Skills

Languages: C#, C++, Python, SQL, VB.Net
Technologies: Microsoft SQL Server, Postgres

Education

Denison University
Granville, OH
Bachelor of Science in Computer Science, Mathematics Minor
Aug 2016 – May 2020