Jaxon is making AI trustworthy. AI has a propensity to fabricate responses – Jaxon keeps them honest. Based on R&D with the US Department of Defense, Jaxon’s proprietary DSAIL (Domain-Specific AI Language) technology applies formal constraints and assertions to verify responses. Now AI can be relied upon for mission-critical applications.

Machine learning engineer supporting development of custom MLOps infrastructure

Supported projects in machine learning, artificial intelligence, web development, and data analytics.

Technologies used: Go / Golang, OpenCV, docker, bash, python (numpy / pandas, luigi, scikit-learn, flask, tensorflow / keras, plotly), Angular 9, javascript

• Created and executed mechanical, electrical, and software test methods to support development of surgical robotics platform

• Led efforts in validating system reliability fixtures via installation and computer qualification (IQ/OQ/CQ) protocols

• Applied Gage R&R statistical analyses using Minitab to validate measurement system protocols

• Participated in Design Failure Modes Effects Analyses (DFMEA) and usability discussions to coordinate future testing plans

• Used Product Lifecycle Management (PLM) software tools: JIRA, Jama, Oracle / Agile to manage testing progress and ensure compliance to overall system and subsystem requirements