Pedro Morel
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Pedro Morel Email & Phone Number

Machine Learning Engineer at Calldesk
Location: Paris, Île-de-France, France 8 work roles 3 schools
1 work email found @calldesk.fr LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 86%

Contact Signals · 1 work email

Work email p****@calldesk.fr
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Current company
Role
Machine Learning Engineer
Location
Paris, Île-de-France, France
Company size

Who is Pedro Morel? Overview

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Quick answer

Pedro Morel is listed as Machine Learning Engineer at Calldesk, a company with 21 employees, based in Paris, Île-de-France, France. AeroLeads shows a work email signal at calldesk.fr and a matched LinkedIn profile for Pedro Morel.

Pedro Morel previously worked as Machine Learning Engineer at Qantev and Data Scientist at Qantev. Pedro Morel holds Diplôme D'Ingénieur, Artificial Intelligence from Ensta Paris.

Company email context

Email format at Calldesk

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{first}.{last}@calldesk.fr
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Profile bio

About Pedro Morel

Hello!I'm a Machine Learning Engineer at Qantev, following a six-month internship in Data Science with the company. My academic background includes a Double Degree from ENSTA Paris in Artificial Intelligence and from UFRJ in Mechanical Engineering, as well as a Master's Degree in Fluid Mechanics from École Polytechnique.I'm passionate about the recent advances in open-source Large Language Models (LLMs) and the accompanying stack of tools that streamline application development. Additionally, I'm captivated by the realm of multimodal deep learning and the vast array of solutions it can unlock within the scope of Document AI.

Current workplace

Pedro Morel's current company

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Calldesk
Calldesk
Machine Learning Engineer
Paris, FR
Website
Employees
21
AeroLeads page
8 roles

Pedro Morel work experience

A career timeline built from the work history available for this profile.

Machine Learning Engineer

Paris, FR

Machine Learning Engineer

Current

- Development and implementation of multimodal models (NLP + Computer Vision) for the acquisition, structuring and classification of data from scanned documents (invoices, medical exams, forms, prescriptions, etc.).- R&D on medical code inference from clinical text. Solutions based on LLMs using SFT, RAG and Prompt Engineering.- Development and maintenance.

Oct 2023 - Present

Data Scientist

Paris, Île-de-France, France

Apr 2023 - Sep 2023

Research Internship

Meudon, Île-de-France, France

Data-driven turbulence modeling for the aeroelasticity of laminar wings.- Study of laminar separation flutter at transitional Reynolds.- Implementation of turbulence models based on Data Assimilation (Variational Field Inversion).- Generalization of these models through Deep Learning.

Mar 2022 - Sep 2022

Research Internship

Ville De Paris, Île-de-France, France

Laboratoire Physique et Mécanique des Milieux Hétérogènes (PMMH). Dynamics of bubble ascent in a field of varying gravity. - Numerical and theoretical modelling of bubble ascent and interfacial dynamics in a gravity field that varies rapidly with time.- Understanding the influence of the cell's geometry and bubble size in the formation of toroidal bubbles.

May 2021 - Aug 2021

Internship Program

Rio De Janeiro, Brazil

Participated in the company's training program, working together with the company's engineers. Focus on CFD, specifically OpenFOAM, applied to the oil and gas industry.

Aug 2019 - Mar 2020

Research Intern

Rio De Janeiro, Brazil

- Implemented several data science techniques to obtain statistical models for an accurate description of the erosion phenomenon.- Developed an erosive wear database.- Developed an erosive wear simulator for different empirical models using Python, HTML, CSS and JavaScript.- Wrote various technical reports focused on the main models used for the phenomenon.

Aug 2018 - Aug 2019

Research Intern

Instituto De Física Ufrj

Rio De Janeiro, Brazil

- Studied the critical behavior of the logistic map’s bifurcation diagram in the transition from chaos to a periodic window.- Complexification of the logistic map as an approach to explore the stability of the system in the imaginary domain.

Oct 2017 - Jul 2019
Team & coworkers

Colleagues at Calldesk

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3 education records

Pedro Morel education

Diplôme D'Ingénieur, Artificial Intelligence

2020 - Modeling for Mechanics 2022 - Artificial Intelligence

FAQ

Frequently asked questions about Pedro Morel

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What company does Pedro Morel work for?

Pedro Morel works for Calldesk.

What is Pedro Morel's role at Calldesk?

Pedro Morel is listed as Machine Learning Engineer at Calldesk.

What is Pedro Morel's email address?

AeroLeads has found 1 work email signal at @calldesk.fr for Pedro Morel at Calldesk.

Where is Pedro Morel based?

Pedro Morel is based in Paris, Île-de-France, France while working with Calldesk.

What companies has Pedro Morel worked for?

Pedro Morel has worked for Calldesk, Qantev, Onera - The French Aerospace Lab, Espci Paris - Psl, and Wikki Brasil.

Who are Pedro Morel's colleagues at Calldesk?

Pedro Morel's colleagues at Calldesk include Daniel Batista, Charlotte Bertin, Francisco Robson, and Maxime Pichou.

How can I contact Pedro Morel?

You can use AeroLeads to view verified contact signals for Pedro Morel at Calldesk, including work email, phone, and LinkedIn data when available.

What schools did Pedro Morel attend?

Pedro Morel holds Diplôme D'Ingénieur, Artificial Intelligence from Ensta Paris.

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