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Baptiste C.BC

Baptiste C.

Senior Software, Data & Machine Learning Engineer

€800/day
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Baptiste

After 8 years of experience in tech in startups and research, I can support you in your data engineering and data science projects. I can help you define the technical strategy for your projects as well as assist you in its implementation.

Data Strategy
⬥ explore and define your AI / Data Science strategy (LLM, chatbot, search engine, user & business data extraction and analysis)
⬥ explore and define your Data Engineering strategy (acquisition, transformation, infrastructure, etc.)
⬥ writing specifications and tickets
⬥ support and management of your data science and data engineering teams


Data Science
⬥ development and integration of LLMs + RAG into your product (chatbot, search engine, user data analysis)
⬥ training and fine-tuning of open-source LLMs or ChatGPT
⬥ image analysis and information extraction (OCR, CNN, LLM)
⬥ training of specific NERs
Pytorch, HuggingFace, Spacy, NLTK, Scikit-learn, GPT-4, Mistral, LangChain

Data Engineering
⬥ Creation and production of your data pipelines (ETL, scraper, crawler)
⬥ extraction of text, tables, images (html, pdf, word, etc.)
⬥ cleaning, exploration, analysis and visualization (particularly user data)
⬥ software architecture (Python), containerization (Docker) and deployment on your infrastructure
Python, Pandas, FastAPI, BeautifulSoup4, Parser, Aiohttp, SQLAlchemy, Airflow, Django, Docker, Kubernetes, Google Cloud Platform, Typescript, React
  • French

    Native or bilingual

  • English

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • Posos
    Senior Data Engineer / Software Engineer / NLP Machine Learning Engineer
    TECH
    September 2019 - May 2024 (4 years and 8 months)
    Paris, France
    Posos is a decision support and personalized prescription tool for healthcare professionals. Posos adapts to different prescription contexts, from the choice of therapeutic management to dosage adjustment. By combining artificial intelligence and medical knowledge, Posos provides concrete answers at each step to help make the best decisions!

    Objectives
    Design of the Data architecture to collect data and structure medical information to make knowledge accessible through automation and natural language processing (NLP).

    Achievements
    ⬥ Led engineering projects in various innovative fields, exploring cutting-edge topics and developing solutions through a mix of software engineering and deep learning
    ⬥ Implementation of a robust and scalable acquisition pipeline to collect and make available hundreds of thousands of PDF and HTML medical documents to feed our search engine
    ⬥ Design and implementation of data extraction algorithms to transform PDFs into structured knowledge using machine learning
    ⬥ Optimization of medical data annotation, facilitating a faster and multilingual annotation process through automation
    ⬥ Unification of medical knowledge through the design and implementation of a reliable, robust, and maintainable data model (ICD-10, SNOMED, MedDRA)
    ⬥ Analysis of all product usage metrics for a deep understanding of user behavior, trends, and insights, leading to data-driven decisions for continuous improvement and enhanced user experience
    python NLP docker kuber GCP SQL deep scrapping Software architecture Software Engineering Tech Lead R&D Data Strategy Product roadmap Pytorch Agile method Healthtech e-health
  • Biggerpan
    Data Scientist
    TECH
    December 2017 - August 2018 (8 months)
    Paris, France
    Responsible for the development and maintenance of artificial intelligence and text analysis tools used to power Biggerpan products (predictive AI for mobile).
    ⬥ NLP and machine learning (NER, Sentiment analysis, Topic modeling, Entity Linking, Coreference resolution)
    ⬥ Collection of large amounts of data and compliance with GDPR regulations (Web scraping, data mining and cleaning)
    ⬥ Development of a tool for searching and generating short texts (NLU, data synthesis, deterministic parsing)
    ⬥ Maintenance and migration of infrastructure (Amazon Web Services & Google Compute Engine)
    Python Machine learning Deep Learning NLP Amazon Web Services Google cloud Redis
  • CEA
    Research Engineer
    RESEARCH
    September 2015 - February 2017 (1 year and 5 months)
    Paris, France
    Research and development of a measurement device (reflectometry) for avionics, from the research phase to prototyping in cooperation with the aeronautics industry.
    Broad expertise:
    ⬥ pattern recognition and classification of 1D signals,
    ⬥ signal processing and embedded digital communication,
    ⬥ design of analog and digital circuits,
    ⬥ technological watch and publication.
    Python C++ Machine learning Scikit-learn Deep Learning

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Education

  • Engineering degree in Electronics
    ESIEE
    2013
    Traitement du signal, électronique numérique et analogique, développement embarqué
  • Master in Intelligent Systems for Transport
    UTC Compiègne
    2013
    Machine learning, vision et navigation robotique, traitement d’images

Skill set

Categories