GeminiWaveENGINEERING CONSULTING

EXPERIENCE IN PRACTICE

People. Devices.
Better development decisions.

Good hardware needs a clear purpose, a practical development plan and evidence that supports the next step.

I bring experience across medical devices, wearables, electronic packaging and multidisciplinary research to help your team connect those pieces.

Discuss your next milestone ↗

The summaries below describe prior career experience and independent learning. They present general capabilities; employer technologies and products are not offered for sale or license by GeminiWave.

01

ABBOTT · PRIOR CONTRACT ROLE

Medical-device development

RequirementsVerification planningDocumentation

Make the evidence easier to use.

My medical-device experience includes verification support, test coordination and engineering documentation within cross-functional development teams.

Capabilities I bring

  • Translate requirements into verification questions
  • Organize evidence gaps and test activities
  • Coordinate engineering and quality input
VALUE TO YOUR TEAM

A clearer connection between the requirement, the available evidence and the next decision.

02

HUMAN SYSTEMS INTEGRATION, INC. · PRIOR EMPLOYMENT

Product ideas & development planning

Concept developmentRoadmapsTeam coordination

Give a promising idea a practical next step.

At HSI, I contributed product concepts, research planning and technical coordination as part of a small multidisciplinary team. My emphasis was shaping opportunities and helping organize the work needed to explore them.

Capabilities I bring

  • Frame user needs and feasibility questions
  • Compare product opportunities and development priorities
  • Connect specialists, work packages and milestones
VALUE TO YOUR TEAM

A focused development brief that helps a team decide what to investigate first.

03

FOSTER-MILLER / QINETIQ NORTH AMERICA · PRIOR EMPLOYMENT

Wearable systems experience

Human-device interfacesHardware integrationDevelopment planning

Think beyond the sensor.

My earlier work included physiological-monitoring wearables and coordination across hardware, garment and product-development disciplines. This experience informs how I approach a wearable as a complete human-device system.

Capabilities I bring

  • Consider fit, comfort and everyday interaction
  • Connect sensing needs with hardware and packaging constraints
  • Coordinate prototype questions across engineering disciplines
VALUE TO YOUR TEAM

A product-development plan that considers the wearer alongside the hardware.

04

FOSTER-MILLER / QINETIQ NORTH AMERICA · PRIOR EMPLOYMENT

Prosthetic interfaces & physiological sensing

Fit & interactionECG & EMG contextResearch coordination

Start with the person at the interface.

I contributed to research involving prosthetic interfaces and physiological sensing, including EMG-related work. The experience connected anatomy, physical fit, signal interpretation and engineering collaboration.

Capabilities I bring

  • Frame interface and usability questions
  • Work across mechanical, sensing and research disciplines
  • Plan how observations can inform the next design decision
VALUE TO YOUR TEAM

A structured way to connect user interaction with engineering evaluation.

05

COLLABORATIVE RESEARCH EXPERIENCE

Virtual reality & rehabilitation research

PerceptionFeedbackPrototype evaluation

Make the interaction worth testing.

I collaborated on exploratory virtual-reality work related to phantom-limb pain for people with above-knee amputation. This experience informs my interest in perception, feedback and human-device interaction.

Capabilities I bring

  • Translate an interaction idea into a research question
  • Consider the user experience of a prototype
  • Coordinate technical evaluation with domain specialists
VALUE TO YOUR TEAM

A clear prototype question and an evaluation plan appropriate to the application.

06

INDEPENDENT TECHNICAL EXPLORATION

Python & data-analysis prototypes

PythonVisualizationAnalysis workflows

Make the analysis inspectable.

Independent Python work has explored data preparation, visualization and machine-learning-based outlier detection. These are technical learning prototypes that complement my hardware and systems background.

Capabilities I bring

  • Prepare data for a defined analysis question
  • Visualize observations and explain assumptions
  • Document limitations and next checks
VALUE TO YOUR TEAM

A reviewable analysis workflow with explicit assumptions and limitations.

BRING ONE QUESTION

What does your next
prototype need to prove?

Start with a nonconfidential conversation about your product, the uncertainty and the decision ahead. We will define a scope, review fit and conflicts, and agree how to handle technical information before work begins.

Request a project fit call ↗