Will Streuli Email & Phone Number

Resilient, innovative, and driven automation engineer at the NCC with a strong background in system integration, concept and mechanical design, and programming in a collaborative R&D environment. Integrated machine vision systems to collect, process and transport sensor data through IIoT with C#/.NET and Python. This data is training machine learning systems for novel, automated defect detection.Taken designs from initial concept sketches through to design for manufacture and testing of sealing parts for ultra-high-pressure applications, destructively tested at over 700 bar.Primary school STEM outreach lead, responsible for directly impacting over 150 students through engaging, interative activity days both at our site and in local primary schools.