Pierre-Louis Guhur, Computer Vision Developer in Paris, France
Pierre-Louis Guhur

Computer Vision Developer in Paris, France

Member since October 26, 2022
Pierre is an engineer in machine learning (ML) and DevOps. He works with passion and agility on challenging problems to help clients make better business decisions, automatize their processes, and build new tools powered by artificial intelligence (AI). Pierre has run a consulting firm for more than five years. He holds a PhD in ML and teaching English to robots! He has also been teaching humans about data science and ML.
Pierre-Louis is now available for hire


  • Mieux Voter
    DevOps, PHP, JavaScript, Python
  • Macro Vision
    PyTorch, React, Amazon Web Services (AWS), Azure, Google Cloud Platform (GCP)...
  • Inria
    PyTorch, DevOps



Paris, France



Preferred Environment

Amazon Web Services (AWS), Google Cloud Platform (GCP), Azure, PyTorch

The most amazing...

...project I’ve conducted was to train a robot on Airbnb to allow it to navigate in unseen houses while following instructions.


  • CTO

    2017 - PRESENT
    Mieux Voter
    • Developed and supervised a voting platform based on OpenAPI and Next.js.
    • Oversaw the promoting processes, resulting in over 200,000 participants.
    • Lobbied for promoting democracy at the French National Assembly, resulting in a report promoting our tools.
    • Consulted for several cities (Paris and Strasbourg), political parties, and firms.
    Technologies: DevOps, PHP, JavaScript, Python
  • Founder

    2017 - PRESENT
    Macro Vision
    • Conducted enterprise resource planning (ERP) and customer relationship management (CRM) customization in industry and politics.
    • Developed license plate recognition based on machine learning.
    • Developed a full-stack voting platform used by more than 200,000 people.
    • Built IoT devices for monitoring the production unit of a brewery.
    • Built and patented an autonomous washing cart for cleaning large commercial surfaces.
    Technologies: PyTorch, React, Amazon Web Services (AWS), Azure, Google Cloud Platform (GCP), PHP, OpenAPI, DevOps, Machine Learning
  • Machine Learning (ML) PhD intern

    2019 - 2022
    • Trained robots that can follow instructions based on ML. Required dozens of GPUs and hundreds of CPUs. Scrapped weakly-supervised data on the internet.
    • Managed a computer cluster of several research teams. Implemented new services for user accounts, upgraded the cluster to CentOS, and maintained hardware.
    • Published six research papers, won four prizes, and outperformed more than ten peers.
    Technologies: PyTorch, DevOps


  • License Plate Recognition

    Created an ML pipeline that rectifies pictures of license plates and recognizes their numbers. I selected relevant existing models and improved their accuracy and their latency. I then developed a production environment in AWS.

  • A Voting Platform Under a Heavy Load

    Managed a team of developers to build a voting platform under a heavy workload. The platform comprises a React-based front end hosted on Netlify and several microservices used for the back-end using AWS. I carefully monitored errors. Activity monitoring has been essential for the project's success.

  • CRM Software Customization

    Helped my clients automate processes with their CRM. I developed new user interfaces based on Airtable and React. Then the interfaces were connected to the CRM using n8n and bash scripts. The production units were designed on containers using Docker, allowing for fast and reliable deployment.

  • Language-guided Robots

    Developed a robot that can follow instructions provided by a user using ML algorithms. The robot can navigate in environments that it has never explored before. It is also capable of grasping and manipulating household objects.
    The algorithms are based on the transformer, a powerful and novel paradigm for deep neural networks. They were trained on a newly collected dataset on Airbnb and supervised learning.


  • Libraries/APIs

    PyTorch, React, OpenAPI
  • Paradigms

    DevOps, Data Science, Management
  • Platforms

    Amazon Web Services (AWS), Google Cloud Platform (GCP), Azure, Docker
  • Other

    Machine Learning, Computer Vision, Natural Language Processing (NLP), Robotics, Machine Learning Operations (MLOps), APIs
  • Languages

    PHP, JavaScript, Python
  • Tools



  • Doctorate Degree in Computer Science
    2019 - 2022
    Ecole Normale Supérieure - Paris, France

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