John Mckearney Iii Email & Phone Number

Hawthorne, California, US

Hawthorne, California, US

Bothell, Washington, US

Kalamazoo, MI, US

- New Product Introduction, Class III Medical Devices- Design Control / Process Validation (ISO 13485 / CFR Part 820)- Risk Management (ISO 14971)- Statistical Process Control (SPC) and Sampling- Bayesian Inference / Conditional Probability Models- Test Method Validation, Gage R&R, Attribute/Ordinal/Continuous Data Types- Root Cause Analysis (RCA).

Newark, Delaware, US

Responsible for developing reliability demonstration approaches in support of Early Feasibility Study (EFS) novel medical devices constructed of nitinol and polymers. Extensive experience creating theoretical models from first principles for specific boundary conditions, drafting test methods to simulate and accelerate these loadings, and validating models.

Newark, Delaware, US

Day-to-day responsibilities involve using root cause analysis to solve problems encountered in the development of a new product. Writing technical documents to support process control and regulatory compliance for the manufacturing processes used by the product line. Contributed from technical feasibility through commercial release.

Newark, Delaware, US

Worked on an alternative manufacturing method for a developmental medical device product. Design and implementation of two separate mold concepts constituted primary commitment. All design conducted in Solidworks

Pursued individual research analyzing the viability of acoustic analysis as a classification method for sequestering precious metal United States coins from circulation. The proposed method realized 15% gain over best-case scenario mass-based sorting methods, attaining an average of 97% correct coin type classification through a machine learning algorithm.

Assisted with tracking progress of engineering, procurement, and construction activities for weekly presentations on a copper concentration plant expansion project. Duties included management of project budget (in excess of $1.4 billion) and cost-benefit analysis of varying design changes proposed for different processes.