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Yan WangYW

Yan Wang

AI Engineer, Generative AI and Machine Learning AWS

€600/day
Villepreux, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Yan

With over 9 years of experience in AI, I have developed strong analytical and synthesis skills, particularly in deep/reinforcement learning, NLP, GEN AI, data processing, operational research, SQL/NoSQL, Big Data, Microservices, and AWS and GCP cloud services.
  • French

    Fluent

  • English

    Fluent

  • Chinese

    Native or bilingual

Can work on-site
Villepreux (up to 50km)

Experience

  • Fabrique Numerique,
    Cloud Generative AI Engineer
    November 2023 - December 2024 (1 year and 1 month)
    GRDF, Serre-les-Sapins, France
    Team composition: 2 PO, 2 Data Scientist, 2 Designer, 4 developers Gazodoc AI Project: Development of a RAG system to provide accurate answers to queries from Gazodoc (4000+ PDFs, Word, PPT, etc.), optimized by Query Transform, Hybrid Retriever, LLMReranker, memory, and metadata filtering. Integration of a learning system with user feedback (Like/Dislike). Creation of a general parser to extract images and tables using multi-modal. Retrodoc Project: Participation in the development of a RAG system based on a Graph Retriever and a note summarization system. Matomo Project: Design of a multi-agent workflow based on reflection and collaboration to extract data from the Matomo API via natural language queries. TelephonePRO: Development of a consulting system based on OpenAI's Whisper model's voice recognition and diarization to generate short summaries of recordings between clients and advisors. This system can also evaluate advisor services to provide suggestions.
  • Expleo Group
    Data Engineer
    November 2022 - April 2023 (5 months)
    Team composition: 1 PO, 1 SM, 2 Data Engineer, 2 Cloud Engineer Development of data extraction pipelines to a data warehouse. Creation of a prototype for data analysis using PowerBI and Matplotlib.
  • Sogeti Lab, Capgemini
    R&D Project Manager, Cloud ML Engineer
    November 2020 - November 2022 (2 years)
    Team composition: 1 PO, 2 PMO, 1 SM, 4 Interns, 4 Dev, 2 Data Engineer, 4 Data Scientist, 2 Cloud Engineer, 8 AMOA Operational and scientific management of a team of consultants and interns. Leading the development of a recommendation system utilizing Transformers algorithms with nltk and spacy, a k-hop prediction algorithm in a Knowledge Graph in neo4j, a parametric geolocation method on Google Maps, and a Lambda service deployment on AWS, using over 200 real CVs and over 3,500 Indeed offers, improving user interaction and engagement by approximately 30%. Proposing and implementing a sentiment chatbot: a Transformer-based search engine, a decision tree modeled by emotional intelligence, a SWEM model trained for sentiment analysis, emotion recognition based on ViT, and a deep reinforcement learning network with an adaptive policy. Collaborating with clients such as Orange and 365 Talents to optimize solutions.

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Education

  • Doctor of Philosophy - PhD, Enterprise Engineering, Data Science
    University of Bordeaux
    2018
    Doctor of Philosophy - PhD, Enterprise engineering
  • Master of Enterprise Engineering
    University of Bordeaux I
    2014
    Master's degree, Enterprise engineering

Certifications

  • Introduction to Big Data with Spark and Hadoop
    IBM
    2022
  • AWS Cloud Technical Essentials
    AWS
    2022

Skill set (26)

Categories