Tommaso Maestri
Senior Machine Learning Engineer at Escendant
Borough of Runnymede, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolTommaso Maestri is a Senior Machine Learning Engineer with 11 years of experience blending advanced GPU parallel computing and machine learning with deep electronic engineering expertise. He holds a Ph.D. in Electronic Engineering and has a rare combination of hands-on GPGPU work (CUDA/OpenCL) for mobile graphics and financial option-pricing algorithms using Monte Carlo and ANN methods. His background in EMC, signal integrity and circuit simulation (HSpice/SPICE3) gives him a systems-level perspective that informs robust, performance-critical software design. At Samsung he focused on extracting compute from next-gen mobile GPUs, and later moved to machine learning roles applying that efficiency mindset to production models. He frequently bridges academia-grade research and production engineering, able to optimize low-level code (C/C++, VHDL, assembler) while reasoning about high-level risk metrics like VaR. Based in the UK, he brings interdisciplinary fluency across RF/EMC tools (CST, HFSS), Matlab, and parallel compute stacks to tackle complex, latency-sensitive problems.
11 years of coding experience
12 years of employment as a software developer
Master, Electronic Engineering, Master, Electronic Engineering at Politecnico di Torino
Github Skills (7)
samsung7
bit7
google-play7
android-application6
android-library4
kotlin4
android3
Github contributions (1)
joseroubert08/microbit
May 2015 - Sep 2015
Contributions:32 commits in 4 months
samsungandroid-libraryandroidkotlingoogle-play
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