Adi Sawant

Hardware quality engineer and researcher working at the intersection of quality, reliability engineering and applied AI — bringing twelve years of quality discipline from automotive and hyperscale infrastructure into the frontier of humanoid robotics.

I'm a Staff Quality Engineer at 1X Technology in Hayward, California, leading quality strategy for humanoid robotics hardware — from PCBA and electromechanical subassemblies through full robotic system integration. My background spans four distinct domains of hardware quality: automotive driveline systems at GKN Driveline, hyperscale cloud infrastructure at AWS, data center networking hardware at Nexthop Systems, and now robotics at 1X. Across all four, I've driven New Product Introduction (NPI) from concept through mass production, supplier quality engineering, and DFM/DFX initiatives — building quality and reliability discipline into environments where the manufacturing playbook doesn't yet exist.

I'm currently a PhD candidate in Information Systems Engineering and Management at Harrisburg University of Science and Technology, where my research examines AI-driven operational intelligence for quality and manufacturing systems in deep-tech hardware startups — studying how emerging hardware companies can build data-driven quality operations without the manufacturing maturity that legacy industries take for granted.

What I'm working on

My research asks how deep-tech hardware startups — companies building genuinely new categories of physical product, without decades of process history to lean on — can build quality and manufacturing intelligence that keeps pace with engineering iteration. It's a question I sit inside of daily: robotics hardware quality doesn't have the same thirty years of institutional muscle memory that automotive does, and the gap between "we have a defect" and "we understand the defect's failure physics" is where a lot of the interesting quality work happens.