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Pierre Guillou

Consultant in Generative AI and Deep Learning
  • Tarif indicatif
    1 200 €/ jour
  • Expérience8-15 ans
  • Taux de réponse100%
  • Temps de réponse1h
La mission ne démarrera que si vous acceptez le devis de Pierre.
Localisation et déplacement
Localisation
Bruxelles, Belgique
Peut travailler dans vos locaux à
  • Bruxelles et 50km autour
  • Liège et 10km autour
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Compétences (30)
Pierre en quelques mots
NLP, Generative AI and Deep Learning Consultant, I currently work as a consultant in strategy, training and implementation of AI models. Indeed, in addition to my experience as a consultant and Project Manager, I am a Deep Learning Scientist who can fine-tune any DL and Generative AI model such as Meta's Llama 3.1, Anthropic's Claude, Mistral's models, as well as OpenAI's ChatGPT models that are open to fine-tuning.

I did work as well as professor at the University of Brasilia (UnB, Brazil) in charge of the Deep Learning course, as well as an NLP researcher in its AI.Lab laboratory, and at the AI ​​Center of the UFG university in Brazil.

In 2024, I co-launched a Generative AI company with agents in Brazil (Adoy.ai).

I have already published NLP models (e.g. based on BERT and GPT2) on Hugging Face's model hub. In addition, I publish the results of my research (analyses, notebooks, etc.) in NLP and Deep Learning on Medium: medium.com/@pierre_guillou

You will also find a list of my scientific and technological disclosure articles on my LinkedIn profile: linkedin.com/in/pierreguillou

Do not hesitate to contact me to discuss your project. I can help you better specify a problem or carry out a feasibility study or a proof of concept, as well as support you in the production of your AI models in collaboration with your teams. I accept remote projects as a priority.
Expériences
  • Adoy.ai
    Co-Founder and Head of AI
    décembre 2023 - Aujourd'hui (1 an et 2 mois)
    Florianopolis, SC, Brazil
    As Co-Founder and Head of AI at Adoy, I lead the development and implementation of advanced Generative AI solutions for humanized customer service known as agents. My responsibilities include overseeing AI research, AI strategy, ensuring seamless integration of AI technologies into customer engagement platforms, and continuously improving AI performance and user and customer experience. I also focus on maintaining robust AI cybersecurity measures to prevent, for example, LLM hallucinations, prompt hacking, and to protect user and customer data.
  • Ideose
    Head of Generative AI | AI & Deep Learning Consultant
    mars 2009 - Aujourd'hui (15 ans et 11 mois)
    France
    (web sites: https://medium.com/@pierre_guillou & https://github.com/piegu/)
    - 2023: Head of Generative AI (ChatGPT applications as agents), Deep Learning Researcher for Abacus Research AG (Switzerland) on Layout models + NLP Consultant at BDM (São Paulo, Brazil)
    - 2022: Deep Learning & NLP Researcher at CEIA (UFG, Brazil) + AI Voice2Text Research (Link2Go)
    - 2021 - 2022: Head of AI at Laudite (Salvador, Brazil) and NLP Consultant at BDM (São Paulo)
    - 2020 - 2021 (to July): Associate Research at the AI Lab (UnB, Brazil) and Professor linked to the ML and DL course at the Faculdade UnB Gama (FGA - Brasília, DF)
    - 2020 (from March to July): contract with Nama (São Paulo, Brazil) as Lead AI Scientist + fastai v2 course instructor
    - 2019 (October to December): professor of DL for a group of students from the university de Brasilia (Brazil)
    - 2019 (January - March): online publication (medium + github) of Deep Learning projects in health
    - 2018 (July): conference on Deep Learning, its evolution and its impact in Banco do Brasil (Brasilia)
    - 2018: Launch of the "IA Brasilia" meetup on the business and ethics in AI & mini-course in CDT / UnB on "AI in business"
    - 2018 (March): launch with a group of persons from the university and the public / private sector of the first DL study group in Brasilia based on the fastai course.
    - 2018 (February): conference on Deep Learning, its evolution and its impact on our future at the Brazilian DL Summer School.
    - 2017 (part 1) - 2018 (part 2): launch of the "Deep Learning Brasilia" initiative and participation in the fastai Deep Learning course via its international scholarship program (Jeremy Howard of the Data Institute of the University of San Francisco (USA)). -------
    - Activities since 2016: Generative AI, Artificial Intelligence (AI), Deep Learning (DL) and Machine Learning (ML)
    - Previous services: digital communication (eg Elus 2.0 | Web in politics), advice and training about social media
  • Centro de Excelência em Inteligência Artificial (CEIA) & Deep Learning Brasil
    Deep Learning & NLP Researcher
    janvier 2022 - décembre 2023 (1 an et 11 mois)
    Goiania, GO, Brazil
    Project Title: "Grouping of repetitive and precedent-setting demands using an Artificial Intelligence solution in the field of jurisdictional provision" Project financed by the United Nations Development Program (hereinafter referred to as UNDP) in Brazil, carried out by representatives of the National Council of Justice (hereinafter referred to as CNJ), on behalf of the Federal University of Goiás (hereinafter referred to as UFG), with the intervention of the Research Support Foundation (hereinafter referred to as FUNAPE) for activities to implement the project "UNDP BRA/20/015 - Justice 4.0: Innovation and effectiveness in the provision of Justice for all".
Recommandations externes
Formations
  • MSEE (Master of Science in Electrical Engineering)
    Georgia Institute of Tecnology (USA)
    1995
  • Ingénieur en Information Systems
    CentrakeSupélec
    1995