Who is Thomas Louis? Overview
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Thomas Louis is listed as AI R and D Consultant at Freelance, based in Nice, Provence-alpes-côte D'azur, France. AeroLeads shows a matched LinkedIn profile for Thomas Louis.
Thomas Louis previously worked as PHD Student : Compression Methods for Embedded AI at Irt Aese - Saint Exupéry and Part-time teacher in Deep Learning & Embbeded AI at Université Côte D'Azur. Thomas Louis holds Doctor Of Philosophy - Phd, Embedded Ai from Université Côte D'Azur.
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About Thomas Louis
With expertise in optimizing neural networks for resource-constrained environments, I aim to apply my skills to address challenges in various domains. While environmental and healthcare applications are particularly appealing, I am also open to exploring other fields where my expertise can drive innovation. Backed by extensive applied research experience, I am additionally interested in flexible work arrangements, including full remote or hybrid models near Poitiers.
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Thomas Louis work experience
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Phd Student : Compression Methods For Embedded Ai
Thesis subject : Optimization and deployment of vision-based neural networks on spatializable embedded architectures.Studying Deep Neural Network Compression methods : - Network pruning - Sparse representation - Bits precision - Knowledge distillationIn the future, I will probably study Bio-Inspired networks, because in a way it is a method of compressing DNN.
Part-Time Teacher In Deep Learning & Embbeded Ai
Part-Time Teacher In Microcontrollers & Embbeded Ai
Embedded Ai Engineer
Apprentice Engineer In Embedded Ai
Pruning (Keras/TF) and deployment of a Deep Learning object detection algorithm intended to be embedded in space purpose target.Benchmark of embedded targets and Deep Learning deployment frameworks. Hardware conception on an FPGA based SoC (ARM Cortex A9 + Xilinx Zynq 7100) to embed a CNN model.Deployment of CNNs models with the Xilinx tools Vitis AI (github.com/Xilinx/Vitis-AI).Development of a framework in C language, which can convert a model and execute an inference in… Show more Pruning (Keras/TF) and deployment of a Deep Learning object detection algorithm intended to be embedded in space purpose target.Benchmark of embedded targets and Deep Learning deployment frameworks. Hardware conception on an FPGA based SoC (ARM Cortex A9 + Xilinx Zynq 7100) to embed a CNN model.Deployment of CNNs models with the Xilinx tools Vitis AI (github.com/Xilinx/Vitis-AI).Development of a framework in C language, which can convert a model and execute an inference in FLOAT32, INT16 with dynamic normalization or INT16 with static normalization. Show less
Apprentice Engineer In Embedded Systems
SW dev. on micro-controller (STM32F0) in C (IAR); I/O config with CUBEMX; Functions : induction recharge, UART, logs with EEPROM & FLASH, OLED display...Design, specification and SW dev. on SoC board DE10-nano (A9 + CYCLONE-V) with Angstrom Linux, Quartus Prime and Eclipse.SW dev. on micro-processor/DSP (dsPIC33) with MPLABX for bus CAN 2.0 configuration.
End-Of-Studies Internship
HW design and SW development of a polyphonic electronic musical instrument. Made with a micro-controller (Teensy 3.6) and a handmade matrix array Force Sensing Resistor (FSR).MPEi project (Digital musical interfaces with multidimensional polyphonic expression). With as partners: Main : - Nice Conservatory (CRRN) - LEAT (UNS-CNRS) - CTEL (UNS) Others :- CIRM (National Centre for Musical Creation) - Polytech'Nice Sophia (UNS)
Uav Assembly And Real Time Flight Controller Programming And Design
Project manager. Study of engines and flight sensors. Design of an onboard communication system for UAVs with two Arduino Mini PRO (μcontrôleur), two NRF2401(Radio Transmitter) and a controller (PS2 controller).
Conception Et Réalisation D'Un Robot Suiveur De Ligne.
Conception et construction d’un robot à capacités multiples : repérage dans l’espace, lecture de tags RFID, capable de sortir d’un labyrinthe, communication Bluetooth via téléphone Android et suivi de ligne. Design des circuits imprimés, gestion µcontrôleur MBED LCP1768, batterie, MCC (hacheurs L293D), écran LCD I2C, capteurs (de distance par ultra-sons, réflectifs, accéléromètre + altimètre et de vitesse/encodeurs), balise/récepteur ultrason, lecteur RFID, boussole magnétique et émetteur… Show more Conception et construction d’un robot à capacités multiples : repérage dans l’espace, lecture de tags RFID, capable de sortir d’un labyrinthe, communication Bluetooth via téléphone Android et suivi de ligne. Design des circuits imprimés, gestion µcontrôleur MBED LCP1768, batterie, MCC (hacheurs L293D), écran LCD I2C, capteurs (de distance par ultra-sons, réflectifs, accéléromètre + altimètre et de vitesse/encodeurs), balise/récepteur ultrason, lecteur RFID, boussole magnétique et émetteur Bluetooth à l’IUT Nice Côte D’Azur Show less
Thomas Louis education
Doctor Of Philosophy - Phd, Embedded Ai
Engineering Degree In Embedded Systems, Embedded Systems, Electronic And It
Diplome Universitaire Technologique, Electronical Engineering And Computer Sciences
Frequently asked questions about Thomas Louis
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What company does Thomas Louis work for?
Thomas Louis works for Freelance.
What is Thomas Louis's role at Freelance?
Thomas Louis is listed as AI R and D Consultant at Freelance.
Where is Thomas Louis based?
Thomas Louis is based in Nice, Provence-alpes-côte D'azur, France while working with Freelance.
What companies has Thomas Louis worked for?
Thomas Louis has worked for Freelance, Irt Aese - Saint Exupéry, Université Côte D'Azur, Polytech Nice Sophia, and Thales Alenia Space.
How can I contact Thomas Louis?
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What schools did Thomas Louis attend?
Thomas Louis holds Doctor Of Philosophy - Phd, Embedded Ai from Université Côte D'Azur.
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