Nicolas G. Profile

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$35 USD / hour

rennes,

france

$35 USD / hour

It's currently 2:52 AM here

Joined April 25, 2024

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Nicolas G.

@nicolasgi

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$35 USD / hour

rennes,

france

$35 USD / hour

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Data and AI scientist

I am a data analyst and AI engineer with a doctorat in signal processing. I also work on AI-generated music (any styles and texts in english or french).

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Portfolio

11903595

Halloween songs

11875716

K-pop instrumentals

11872344

upbeat instrumentals

11867996

corporate songs

11867040

Colorful vibe

11867037

Heartbeat

11903595

Halloween songs

11875716

K-pop instrumentals

11872344

upbeat instrumentals

11867996

corporate songs

11867040

Colorful vibe

11867037

Heartbeat

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Experience

Capgemini engineering

Jan 2023 - Dec 2023 (11 months, 1 day)

I also on fatal heat in the industry where I had to process simultaneously time-series and categorical data to find the optimal heat-transfer solution using reinforcement learning. I used python and tensorflow for data processing and machine learning.

Capgemini engineering

Nov 2019 - Dec 2023 (4 years, 1 month)

I worked on the detection of pressure ulcers based on time-series. In this project, I used gradient-boosted random forest and LSTMs to predict the probabilities of pressure ulcers. For my algorithm to perform best, I had to engineer new features based on relationships between pressure ulcers and the input data. I used python for data processing and machine learning.

Education

Doctorate in signal processing

Université d'Angers,

France

2016 - 2019

(3 years)

Publications

Early Detection of Pressure Ulcers: Considering the Reperfusion

Innovation and Research in BioMedical engineering

We compared different algorithms for the early detection of pressure ulcers and showed the need to take the measurement variation in time for a better detection. We showed that taking the evolution of pressure instead of only instantaneous measurement can improve the early detection of pressure ulcer.

Evaluation of 3D/2D Imaging and Image Processing Techniques for the Monitoring of Seed Imbibition

Journal of imaging

Seed imbibition is an important process in plant biology by which a dry seed may turn into a developing organism. Monitoring the seed imbibition with non-invasive imaging techniques is therefore an important task. We described four different imaging techniques that address this task either in 3D or in 2D. Complete image analysis pipelines are then proposed to extract dynamic information on the imbibition process from such monitoring experiments.

Stochastic antiresonance in qubit phase estimation with quantum thermal noise

Elsevier

We consider a quantum information processing task consisting in estimating the phase of a qubit. Estimation is analyzed in the presence of decoherence represented by a quantum thermal noise at arbitrary temperature. Regimes are found where higher noise temperatures turn more favorable to estimation. Such behaviors are related to stochastic resonance or antiresonance effects, where noise reveals beneficial to information processing.