Ahmet Mesut Alpkilic
Optical Metrology Engineer @Meta
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WORK HISTORY
Optical Metrology Engineer @Meta
Redmond, WA, US
Working on precision metrology and sensor integration for next-generation AR/VR optical systems. My role focuses on designing and building advanced characterization platforms for camera modules and optical components — evaluating performance metrics such as MTF, contrast, signal throughput, and sensor synchronization across RGB and IR channels.I develop automated test and validation pipelines and have architected an AI-driven robotic testing platform for real-time sensor characterization and data collection. Day to day, I work across the hardware-firmware-software boundary, diagnosing integration issues related to signal integrity, power delivery, and data-path performance while collaborating closely with cross-functional teams and component vendors to drive sensor subsystems from prototype bring-up through production readiness.
EDUCATION
University of Washington
Doctor of Philosophy - PhD, Mechanical Engineering
Gazi University
Farabi Exchange Program, Electrical and Electronics Engineering
Erciyes University
Bachelor of Science - BS, Electrical and Electronics Engineering
TOBB Ekonomi ve Teknoloji Üniversitesi
Master of Science - MS, Electrical and Electronics Engineering
ABOUT AHMET MESUT ALPKILIC
Electrical engineer and researcher with a background spanning optical system design, sensor integration, hardware characterization, and embedded compute platforms. I have worked across the full product lifecycle — from early-stage research and prototyping through system-level testing and high-volume production readiness.I am an Optical Metrology Engineer at Meta Reality Labs, where I design sensor characterization platforms for AR/VR hardware, build AI-driven automated testing systems, and debug complex integration challenges across hardware, firmware, and software layers.At the University of Washington, my research focuses on advanced imaging systems using metalens and MEMS technologies for Optical Coherence Tomography and light sheet microscopy. This work involves architecting end-to-end sensor-to-compute imaging systems, developing automated image processing pipelines using machine learning, and designing MEMS-enabled varifocal modules for dynamic imaging applications.My earlier experience at Meta involved developing test frameworks and machine learning pipelines for brain-computer interface sensor hardware. Before that, I spent three years at TOBB University in Ankara as a research and teaching assistant, designing nanophotonic devices through computational simulation and fabricating optical prototypes — work that resulted in multiple journal publications and conference presentations at SPIE, OSA, and META.I hold two patents in optical and biopotential measurement systems, have authored 3 journal papers and 8+ conference papers, and am a member of SPIE and Optica (formerly OSA).I am most engaged when working on problems that sit at the intersection of optics, electronics, and software — and where getting the details right at the hardware level truly matters. Always open to connecting with others working in imaging systems, sensor integration, embedded hardware, or optical engineering.
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