PsychoPraticien En Thérapie Brève Systémique, Conjugale Et Familiale, Sexo Et Hypnose PNL
Avoine, Centre-Val de Loire, France
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Summary
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Rockstar
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Top School
Julien Lavergne is a versatile practitioner blending nine years of technical R&D and DevOps experience with a current career as a psychopractitioner specializing in brief systemic, couple and family therapy, sexology, hypnotherapy and PNL. He holds deep computer science roots (PhD-level work and teaching) and has led cloud and R&D projects across startups and enterprise teams, including architecture and DevOps roles that built early AWS BI platforms. Julien also founded Tours in My Pocket, shipping community-driven mobile and web products, and contributed backend optimizations to popular open-source projects like the PokemonGo bot by improving core optimizer and inventory logic. Based in Centre-Val de Loire, he combines analytic engineering rigor with a holistic, client-centered therapeutic approach—an uncommon cross-disciplinary mix that informs both his clinical practice and technical problem solving. He trains adult learners and continues to create, teach and iterate on tools and methods that bridge technology, human behavior and community.
9 years of coding experience
8 years of employment as a software developer
Titre Professionnel Formateur pour Adultes (FPA), Formation, Titre Professionnel Formateur pour Adultes (FPA), Formation at Empulsion
PhD, Computer Science, PhD, Computer Science at Université de Tours
Praticien en hypnose ericksonienne, Hypnotherapy/Hypnotherapist, Praticien, Praticien en hypnose ericksonienne, Hypnotherapy/Hypnotherapist, Praticien at Psynapse
Diplôme Universitaire de Technologie, Informatique, Diplôme Universitaire de Technologie, Informatique at La Rochelle Université
Licentiate degree, Technician, Licentiate degree, Technician at Association Francophone de Diffusion de l'Entretien Motivationnel
Contributions:27 commits, 54 PRs, 11 pushes in 1 month
Contributions summary:Julien made significant contributions to the Pokemon Go Bot, focusing on the core functionality of the Pokemon optimizer. Their work involved implementing features for catching and evolving Pokemon, optimizing inventory management, and integrating configurations for efficient bot operation. They also addressed performance issues by incorporating run intervals, and dry runs. Additionally, the user refactored the codebase to improve readability and add new functionalities.
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Julien Lavergne - PsychoPraticien En Thérapie Brève Systémique, Conjugale Et Familiale, Sexo Et Hypnose PNL