Resume

Adam Joseph Laloge

UI/UX Engineer | Human-Centered AI Systems
github.com/AStellarScene
hello@adamlaloge.com

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Profile

Engineering Test Technician and software developer in medical-device testing. Builds test software and automated test equipment, including technician-facing interfaces, backend code, embedded controllers, and AI agent workspaces. Uses moderated usability sessions and operator workflows to shape requirements. Finishing a B.S. in UX Design at WGU.

Experience

Baxter International, Inc. Batesville, IN

Engineering Test Technician

2025 – Present

Computer Solutions and Innovations, LLC Versailles, IN

On-Site IT Support

2023 – 2024

Education

Certifications

Skills

UX & Human Factors

  • HMI design for test equipment
  • Usability testing, moderated sessions with end users
  • Heuristic evaluation (Nielsen's 10)
  • Wireframing and user flows
  • UI prototyping: Figma, Adobe Illustrator, Affinity Designer, Miro
  • User needs gathering and requirements definition
  • Personas and journey maps
  • Calibration procedure UX/UI design
  • User training and support for internal tools
  • Systems analysis and design
  • W3C/WCAG, Material Design, and Apple Human Interface Guidelines

Test, V&V & Reliability

  • Medical device verification and validation
  • Lifecycle testing (hospital beds, patient support systems)
  • Requirements traceability
  • Failure investigation: reproduction, documentation, escalation
  • Automated regression and unit testing
  • Automated test equipment (ATE) engineering
  • Modular test action libraries
  • Safety system design
  • Calibration methods
  • Test data recording and analysis
  • Technical documentation, spec writing, and validation documentation
  • PLM document control

Software & Embedded

  • Python, C#/.NET, C++, JavaScript, HTML/CSS, Rust
  • SQL and database design
  • Linux and Bash
  • Docker, WebSockets, Git/GitHub
  • Code review and branching workflows
  • Embedded microcontrollers
  • Sensor integration
  • OpenCV
  • Agile/Scrum

AI & Agentic Work

  • GitHub Copilot agent architectures
  • AI agent workspaces
  • Retrieval-Augmented Generation (RAG)
  • Model Context Protocol (MCP) and tool integrations
  • AI output evaluation, testing, and validation
  • Natural language protocol ingestion
  • Structured iterative prompting
  • AI assisted refactoring and debugging