
Patricia Wintrebert
AI Product Builder | Forward Deployed Engineer
Salaire / Taux journalier
Mobilité : Bordeaux, Occitanie, ...
Freelance, ouvert au CDI
À distance uniquement
Expertises
Langues
À propos
Introduction
My work sits at the intersection of product, software engineering, machine learning, and applied AI. I work directly with teams to understand business needs, design the right technical approach, develop and deploy RAG systems, automation pipelines, and agentic workflows. My background combines hands-on AI engineering, product thinking, project coordination and production delivery.
Expérience de travail
ML/AI Engineer
Innopearl®
janv. 2024 - Présent
2 ans 10 mois
Genève, Suisse
At Innopearl we empower Open Innovation and Venturing teams to drive transformative value creation with our end-to-end approach, advanced analytical tools and software solutions.
AI Engineer | Product Manager
Insight Lab AI
juil. 2023 - Présent
3 ans 4 mois
Zoug, Suisse
Insight-lab.ai is a comprehensive platform supporting the automatic processing of conversational text documents, such as qualitative or in-depth interviews, focus groups, sales call recordings, customer feedback, or any other interactions. The platform manages the whole process from contact management, recording, transcription, anonymization, and reporting. As a Senior Developer at Insight Lab, I play a key role in developing a general AI application designed to transform raw data into actionable insights. My responsibilities include: 🔹Python Development: Led the development of core functionalities using Python, focusing on API design and implementation to ensure seamless integration with diverse data sources. 🔹NLP (Large Language Models): Implemented Natural Language Processing (NLP) capabilities leveraging advanced LLMs (Large Language Models) to extract and analyze textual data, enhancing insight generation and data interpretation. 🔹CI/CD and DevOps: Established robust CI/CD pipelines using Git, GitHub, and Jenkins to automate testing and deployment processes, ensuring high reliability and efficiency in application updates. 🔹Lean Product Lifecycle Management: Applied agile methodologies to manage the product lifecycle effectively. Prioritized features and improvements based on user feedback and data analytics, optimizing the application's value proposition. 🔹Technical Leadership: Collaborated closely with cross-functional teams including data scientists, UX/UI designers, and product managers to align technical development with strategic business objectives. 🔹Cloud Deployment: Utilized cloud-based platforms such as AWS to deploy and scale the application, ensuring optimal performance and availability for users. 🔹Continuous Improvement: Actively participated in code reviews, implemented best practices in software development, and contributed to innovation initiatives aimed at enhancing product capabilities and user experience.
Machine Learning Engineer | NLP
women++ (womenplusplus)
sept. 2023 - déc. 2023
4 mois
Zurich, Suisse
🥇Best Solution Award 2023 Winner for the SHIFT project, a matchmaking app that connects underrepresented groups looking to transition into the tech industry with HR professionals. The project was initiated by PowerCoders & Women++.
Formation
Liora (Mines Paris PSL)
Machine Learning Engineer | Master (RNCP7) co-certified by MINES ParisTech | PSL, Data Science, Mathematics and Computer Science
2023 - 2025
2 ans 1 mois
Résultat : Master
Data Science : ◼️ Programming : Python (Numpy, Pandas) ◼️ Dataviz : Maplotlib, Seaborn, Bokeh ◼️ Machine Learning : Scikit-learn, classification, regression, clustering, dimensionality reduction, Statsmodels, Text Mining, NetworkX ◼️ Data Engineering : SQL, Data Processing, PySpark ◼️ Deep Learning : TensorFlows, Keras, CNN-RNN, Gans ◼️ AI : Reinforcement learning, Deep reinforcement learning MLOps : ◼️ Advanced Programming : Python Multithreading, Multiprocessing, Bash Linux ◼️ CI/CD : Git, GitHub, Gitlab, Azure DevOps, Google Cloud Source, AWS CodeCommit, Unit Testing ◼️ Automation & Deployment : Docker, Fast API, Airflow, Kubernetes Data Product Management : ◼️ Data Governance : RGPD, Ethics, Data Types, Culture ◼️ Data Management : Data Quality, APIs ◼️ Project Management : Agile ◼️ Business Intelligence : PowerBi, Make, Tableau
DataScientest.com
Data Analyst, diploma co-certified by MINES ParisTech | PSL, Data Science
2023 - 2023
7 mois
350 hours of classes : ◼️ Programming : Python (Pandas, Numpy) ◼️ Data visualisation : Maplotlib, Seaborn, Bokeh ◼️ Machine Learning : Scikit-Learn, Regression, Classification, Clustering ◼️ Extraction : Text Mining, Webscraping ◼️ Big Data / Database : PySpark, SQL ◼️ Business Intelligence : PowerBi, Tableau, Looker Studio 50-hour project: Developing an application for HR professionals that determines which job matches given skills ◼️ Data exploration, cleaning, processing and visualization ◼️ Model training and machine learning evaluation ◼️ App deployment on Streamlit
Université Strasbourg
Bachelor Sc. IT, Computer Programming, Specific Applications
2011 - 2013
3 ans
Résultat : Bachelor
Programming, mobile development, database management, ergonomics, search engine optimization, network and security, project management, multimedia law, corporate english
University of Strasbourg
DU Full Stack Web Developer, Technologies de l''information
2010 - 2011
2 ans
Web and mobile development: PHP, MySQL, HTML, CSS, JS, DHTML, XML, XSL Design: Photoshop, Illustrator, Flash CMS: WordPress, SPIP, Drupal, Joomla! Project Management
Université Paris Cité
LEA, Langues étrangères appliquées
Applied languages english and german
Licences et certifications
Transacting on the Blockchain
Délivré le : mai 2025
Machine learning - advanced classification
Délivré le : juil. 2023
Machine Learning with sklearn
Délivré le : juil. 2023
Data Quality
Délivré le : juin 2023
Data Visualization with Seaborn
Délivré le : juin 2023
Data Visualization with Matplotlib
Délivré le : juin 2023
Exploratory Statistics with Python
Délivré le : juin 2023
DataScientest first exam (Python)
Délivré le : juin 2023
Python programming language for Data Analysts
Délivré le : juin 2023
Blockchain and Business: Applications and Implications
Délivré le : juin 2022
Portfolio
