Summary
Mehmet Alıcı is a Senior AI/ML Compiler Engineer with 8 years of experience specializing in TinyML and mapping DNNs to extremely low-power, hardware-constrained platforms. He has led compiler and embedded library development for large-scale neuromorphic systems like SpiNNcloud and optimized sensor-driven models and pipelines for wearable and edge devices. His work blends practical systems engineering—efficient data segmentation tools and C-based embedded UIs—with research-oriented rigor, now reinforced by returning to TUM for an M.Sc. in Robotics, Cognition and Intelligence. A pragmatic proponent of testing, documentation and reproducibility, he consistently turns complex model optimizations into auditable, production-ready solutions. Notably, he has applied algorithmic insight to achieve linear-time segmentation of millions of sensor points, demonstrating an uncommon focus on both algorithmic efficiency and deployable embedded code.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Electrical and Electronics Engineering, Bachelor of Science - BS, Electrical and Electronics Engineering at Boğaziçi University
Turkish, English, German