Software Projects

• Lightcycle.io: Javascript and HTML5 based game themed from your favorite Sci-fi arcade cabinet and movie. lightcycle.io
• Python-based stock predicting neural network: Trained a neural network model to predict stock price movements based on sentiment scores and historical market data, achieving accurate predictions and demonstrating the potential for AI-driven investment strategies.
• Open-Source Project: Catland (Godot Game Engine): Collaborated on an educational game focused on teaching Hiragana and Kanji. Developed game logic and features using GDScript and created external applications in .NET for data processing and integration with a REST API for leaderboard database management.
• Distributed System Controls and Data Acquisition: Implemented in LabVIEW with the OOP and DQMH frameworks a modular distributed system control and data acquisition system.
• Multiobjective Topology Optimization: Developed new techniques for multi-objective topology optimization in Matlab and Python.

Professional Experience

• Senior Software Engineer, Geneoscopy March 2025 - Present (or Nov 2025, if Nov 2025 is current end date, using the latest end date from the files):
  • Designed and developed software systems, including back-end development using Python and various cloud architectures.
  • Managed infrastructure, integrated with third-party services, and contributed to the development of CI/CD processes.
  • Interfaced with various healthcare and billing partners using HL7 and MLLP.
• Lead Lab Test Engineer, Boeing Sept 2022 - March 2025, St Louis MO:
  • Led a team of mechanical systems test engineers, providing guidance and oversight on testing and development projects.
  • Designed and developed test procedures for mechanical systems, utilizing programming skills to automate data collection and analysis in LabVIEW.
  • Integrated systems with aerospace and military communication protocols including MIL-STD-1553 and ARINC.
• Lead Lab Test Design Engineer, Boeing Sept 2018 - Sept 2022:
  • Designed mechanical test systems for aircraft and weapons environmental control and fuel subsystems.
  • Performed hand analysis and FEA for validating designs prior to manufacturing.
• Additive Manufacturing Design and Analysis Engineer, Boeing May 2016 - Sept 2018:
  • Investigated and developed pathfinder projects for utilizing both polymer and metallic additive manufacturing in an aerospace environment.
• Undergraduate Research Assistant, University of Tennessee January 2015 - May 2017, Knoxville TN:
  • Developed new techniques for multi-objective topology optimization in Matlab and Python.

Research/Publications

• Publication: “Multi-solution Nature of Topology Optimization and its Application in Design for Additive Manufacturing”, Rapid Prototyping Journal, November 2018.
• Award: Overall Winner, Boeing Commercial Airplanes Product Development Grand Challenge 2018: Wing Structure Redesign Mockup.

Software Languages

• Python: Experienced
• LabVIEW: Experienced
• C/C++: Proficient
• Javascript: Proficient
• GDScript: Proficient
• Matlab: Proficient
• Go (Golang): Novice
• Rust: Novice
• Swift: Novice

Tools and Technologies

• Operating Systems: Windows, Linux, macOS
• Agile methodologies: Scrum, Kanban
• Version control systems: Git, Github, Gitlab, SVN
• Containerization: Docker and Kubernetes (deployment and management)
• DevOps: Configuration of source control systems, team databases, and CI/CD pipelines
• Cloud technologies: AWS - SQS; EC2; ECS; Lambda; SES; EKS; S3; Secrets Manager; Elasticache; DynamoDB; Transit Gateway; Elastic Load Balancer; Cloudwatch
• API CI/CD and Development techniques: Postman; Contract testing; Pact; Swagger
• Order Management Systems: Salesforce development and API interactions
• AI/ML: and interactions using a variety of tools in Python: PySpark; Tensor Flow; Scikit-Learn; Huggingface
• Computer networking and Industrial communication busses: TCP/IP, UDP, Telnet, EtherCAT, Modbus, and HART
• Aircraft and military specific communication protocols: MIL-STD-1553 and ARINC 429