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Valentin MacheretVM

Valentin Macheret

Backend Engineer | Ops | Deep Learning

€560/day
Paris, FR
3-7 years

Average response time: 1 hour

About Valentin

Ingénieur en informatique de formation, avec une forte composante en développement et en intelligence artificielle.

J'ai travaillé durant 5 ans dans une société de robotique (2000 robots dans la nature), d'abord en R&D puis en tant que Lead Developer durant 2 ans. Mes usages courants furent l'architecture logicielle/C#/Java/Android/C/Docker/Unity/Git tout en gérant une équipe d'ingénieurs et de développeurs (recrutement, planning, revue de code, git flow, bonnes pratiques, TDD...).

Depuis 2 ans je travaille avec mon associé à la création d'un service SaaS de transcodage vidéo performant. Mes usages courants sont davantage Python/Pytorch (pour le Deep Learning) /Docker/Ansible/Terraform/Git.

En dépit de fortes expériences en C#/.Net (7 ans) / Java (6 ans) / Python (2 ans), je n'ai pas de contrainte à travailler avec de nouveaux langages, technologies ou usages.
Je recherche actuellement des missions durant lesquelles je pourrai apporter des conseils (architecture, bonnes pratiques, techno), de l'aide au développement (backend, deep learning) ainsi qu’en ops (CI/CD/Monitoring).

Au plaisir d'échanger sur vos projets avec vous.
  • French

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • >Kompil
    Co-Founder
    January 2022 - Today (4 years and 5 months)
    Paris, France
    We offer to any video provider a SaaS solution to reduce their video transcoding & encryption costs (-30%) and carbon footprint (-80%) by all means. Fast & scalable transcoding system relying on ultra low carbon infrastructure, clean source and automatic carbon compensation. Accessible to everyone via a wysiwyg user interface or a more classic REST API. >kompil, toward sustainable videos.
  • >Kompil
    Machine Learning Engineer
    SOFTWARE PUBLISHING
    September 2020 - December 2021 (1 year and 3 months)
    Paris, France
    Research and development of an efficient video coder/decoder (codec) based on Deep Learning. We target to reduce drastically the broadcast and player carbon footprint thanks to our codec KP1; which is NPU friendly for the ongoing generations of smartphone and laptop.

    ► Technical stack :
    - Python, Kotlin
    - Pytorch (Lightning), Keras (early stage), OpenCV
    - Django, Docker, GitlabCI, AWS, Scaleway, HPC, Terraform, Ansible

    ► AI stack :
    - Deep learning, CNN, RNN, clustering
    - Works on topologies and layers (activations, frequencies..)
    - Enhancing learning with optimized schedulers and loss functions
    - Custom quantization (int8 for ARM target)
    - State of the art and frequent technology watch (AI, codec, hardware...)
  • Blue Frog Robotics
    Lead Developer
    SOFTWARE PUBLISHING
    June 2018 - June 2020 (2 years)
    Paris, France
    Previous job duties. Moreover I tried to enhance as I could the dailylife and workflow of my teammates, clients and partners :

    ► Blue Frog Robotics internal developers (5-10 people) :
    - Short and long term dev goals
    - Setup internal best pratices / Coding style / Software craftmanship
    - Code reviews, mutual help and knowledge sharing
    - Continuous integration / Git flow
    - Continuous deployment / build & release
    - Optimization and software architecture advice
    - New arrivals onboarding

    ► External devs / Clients :
    - Enhance the homemade BlueQuark SDK
    - User feedbacks
    - Maintenance and support
    - Organized and led training sessions with our partners
    - Doc, tutorials...

    ► Recruitment (see previous job)

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Education

  • Ingénieur en informatique / Computer science, Sciences Cognitives et Informatique Avancée / Artificial Intelligence and Optimization
    EPITA: Ingénierie Informatique
    2015
    Ingénieur en informatique / Computer science, Sciences Cognitives et Informatique Avancée / Artificial Intelligence and Optimization
  • Spécialisation en mathématiques et informatique
    Université du Québec à Chicoutimi
    2012
    Spécialisation en mathématiques et informatique

Skill set

Categories