Manuel Torres
Artificial Intelligence Architect at Philips
Sindelfingen, Baden-Württemberg, Germany
Summary
👤
Senior🎓
Top SchoolManuel Torres is an Artificial Intelligence Architect with over a decade of experience translating deep learning research into regulated medical products at Philips. He blends strong academic roots—a PhD and postdoc in computer vision and deep learning—with hands-on systems design, having led computer vision teams, developed evaluation benchmarks, and solved hardware-related imaging problems for Time-of-Flight cameras. Manuel drives AI strategy across data quality, GDPR-compliant pipelines, and regulatory engagement, enabling R&D-to-product transfers in clinical monitoring portfolios. His background designing smart-camera hardware and low-resource algorithms gives him a rare full-stack view from FPGA and PCB to algorithms and regulatory pathways. Colleagues rely on him to bridge theoretical advances and practical, auditable solutions that meet stringent medical standards.
10 years of coding experience
14 years of employment as a software developer
Masters Degree on Robotics and Automation, Masters Degree on Robotics and Automation at Industrial Robotics Institute (IRI-UPC)Doctoral degree in Computer Vision for Human Computer Interaction, Doctoral degree in Computer Vision for Human Computer Interaction at Karlsruhe Institute of Technology (KIT)UPC Universitat Politècnica de Catalunya
English, German, Spanish, Catalan
Github Skills (13)
entropy10
compressor9
z808
throughput8
linux7
backend6
storage5
network4
blockchain4
clang4
rust3
llvm2
zig2
Programming languages (3)
Github contributions (5)
MartinezTorres/megalinker
Aug 2020 - Feb 2022
Contributions:19 commits, 18 pushes, 1 branch in 1 year 5 months
MartinezTorres/marlin
Apr 2017 - Jan 2020
Marlin: high throughput entropy compressor
Contributions:185 commits, 7 PRs, 161 pushes in 2 years 10 months
entropycompressormarlinhigh-throughputthroughput
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