Abdi Mehdi

Abdi tackles a costly problem in metal additive manufacturing: spending hours building a part, then having to start again. He holds a PhD in computational materials science and brings over seven years of metal AM experience to his work at QH Build, helping teams investigate production risks before metal is deposited. The platform combines robotics and metallurgical simulation to assess thermal risks, predict distortion and check robot motion. In a published, peer-reviewed wire-laser DED case study, the approach reduced direct variable cost per part by 64%, with annual projections of $180,000 in savings and 5,000 machine hours freed. QH Build is a Formnext 2026 Start-up Award finalist with one goal: fewer repeat builds and more productive machine time. Make the mistakes in simulation, not in the build.