Charles Rieser

• Architected and implemented a CI/CD pipeline to integrate static analysis tools.
. Established and implemented a branching strategy for a organization.
• Collaborated with project stakeholders to ensure successful delivery of software and systems solutions.
• Implemented system models at every level of abstraction in SysML, UML, and DoDAF
• Participated in model reviews, providing constructive feedback and fostering knowledge sharing within the systems engineering team.
• Wrote and implemented organization wide policy on systems engineering and best practices.
• Worked in a cross functional systems engineering scrum team to derive requirements and implement systems models.

• Coordinated cross-functional teams to ensure alignment on project objectives and deliverables.
• Developed and maintained project schedules, tracking milestones and deadlines for timely completion.
• Implemented process improvements that enhanced operational efficiency and reduced project risks.
• Facilitated regular status meetings to communicate progress, address challenges, and drive solutions.
• Collaborated with other software developers on design, development and testing of programs.
• · Designed and coded new software or modified existing software to add new features.
• Collaborated with project stakeholders to ensure successful delivery of software solutions.
• Implemented APIs to integrate with external services and expand application functionality.
• Participated in code reviews, providing constructive feedback and fostering knowledge sharing within development team.
• Communicated effectively with technical and non-technical audiences, translating complex technical concepts into clear and concise language.
• Identified and documented potential software risks, proposing solutions and mitigation strategies to maintain system security.
• Leveraged version control systems such as Git for code management, collaboration, and efficient project history tracking.
• Conducted trade studies and analysis regarding tools for front-end development as well as back-end development and data processing.
• Decomposed system level requirements in order to derive meaningful use cases.
• Wrote detailed technical documentation outlining system architecture, coding conventions and best practices.
• Implemented system models in UML, SysML, and DodAF.
• Engineer responsible for program-wide guidance for systems engineering best practices and CDRL auto generation.
• Prepared reports and correspondence concerned project specifications, activities, and status.
• Implemented agile development practices across multiple projects, ensuring timely delivery of high-quality solutions within budget constraints.
• Utilized data analytics and mathematical models to predict and measure outcomes and consequences of designs.
• Coordinated cross-functional teams to troubleshoot production issues quickly and efficiently.
• Managed a team of approximately 15 software engineers for 2+ years.
• 3 years of experience as a scrum master / product owner.
• Provided demonstrated experience driving performance against schedule.
• Participated in scheduling activities and IMS development.

• Optimized existing code to improve computational efficiency.
• Integrated algorithmic solutions into existing systems as needed.
• Collaborated with other developers on algorithm design and implementation.
• Implemented automated tests for the validation of algorithm performance.
• Debugged programs by identifying errors in logic or syntax within a program's source code.
• Cleaned and manipulated raw data using statistical software.
• Tested, validated and reformulated models to deliver accurate prediction of outcomes of interest.
• Designed and executed software test cases and performed analysis for the simulation tools including threat detection and monitoring, target signatures, track initiation, feature generation and object classification.
• Determined pass/fail criteria for a wide variety of test cases, analyzed and documented results, and worked with other software developers to close issues.

• Provided support for end users by resolving issues related to deployed applications.
• Utilized object-oriented design principles to develop high-quality software components for a stochastic data analysis tool.
• Optimized software performance by identifying bottlenecks and implementing efficient algorithms and data structures.
• Developed unit tests to ensure code quality and facilitate future code maintenance.
• Developed scalable software solutions using Java and Python to enhance system performance.
• Wrote detailed technical documentation outlining coding conventions and best practices.
• Prepared reports and correspondence concerned project specifications, activities and status.