You're seeing this page as if you were . The main menu is still yours, though. Exit from immersion
Carmel Prosper S.CP

Carmel Prosper S.

Machine Learning Engineer

€400/day
Paris, FR
3-7 years

Average response time: 1 hour

About Carmel Prosper

I am a Software Engineer and AI/ML engineer with over four years of experience as a Backend Engineer leading a development team, and I recently engaged in research work as a Machine Learning Engineer with a focus on Healthcare including oncology, neuroscience, and Natural Language Processing using probabilistic approach to drive impactful solutions and particularly in Africa. My interest lies in Graphical Models, Deep learning, LLMs, Computer Vision, Computational Neuroscience, and Brain Machine Interface. Looking for a AI/ML Engineer Position.
  • French

    Native or bilingual

  • English

    Native or bilingual

Can work on-site
Paris (up to 50km), Rennes (up to 10km), Lyon (up to 10km), Nantes (up to 10km), Cannes (up to 10km)

Experience

  • CyLab-Africa/Upanzi Network
    Research Assistant Intern
    EDUCATION AND E-LEARNING
    June 2024 - Today (2 years)
    Kigali, Rwanda
    We are revamping the (04-654) Probabilistic Graphical Model (PGM) course from CMU Africa. Basically consist of designing the content more practical for students with real-world applications of PGM. I also participate in other research project including using LLM for prompt engineering to create policy.We are revamping the (04-654) Probabilistic Graphical Model (PGM) course from CMU Africa. Basically consist of designing the content more practical for students with real-world applications of PGM. I also participate in other research project including using LLM for prompt engineering to create policy.
    LLMs Langchain Deep Learning Machine learning Programmation Python GitHub Pytorch Matplotlib Scikit-learn Networkx Markdown HTML5/CSS3 Développement web
  • ALEXIS ASSURANCES
    Développeur Fullstack.
    BANKING AND INSURANCE
    April 2022 - October 2022 (6 months)
    Lyon, France
    Mise en place de Formulaire de contact pour collecte de données de clients pour quotation d’assurances dans les secteurs: Assurance des Energies renouvelables , Assurances Construction, Assurance BET, Assurance de l'Art et des collections, Assurer les technologies de l'information, le conseil et la création et Assurance des Cabinets d’ingénierie industrielle.

    Retransmission des données pour traitement par XML.
    https://www.ma-decennale-photovoltaique.com
    API REST XML PHP Vue.js Laravel cPanel Git
  • VIZEO SAS
    Développeur Backend Java & Tram Lead
    TECH
    April 2022 - Today (4 years and 2 months)
    Villeurbanne, France
    Designed and Implemented Microservices
    architecture project with Spring Boot Java Stream
    and Saga Choreography Pattern (Apache Kafka
    Cloud Stream), RealTime mailbox reception,
    Authentication, and multiple REST API'S and
    documented for Frontend use, with Open API
    Swagger, Mysql.
    Managed Linux Server and Mysql Databases. Nginx, Apache2 Host on Linux and DNS Record.
    Managed AWS S3 Bucket.
    Spring boot Spring Cloud Laravel 9 Java PHP 8 Keycloak Apache Kafka Nginx OVH AWS S3 Apache Git Maven DNS Swagger docker-compose

Recommendations

Be the first to recommend Carmel Prosper

Help this freelancer shine by sharing your experience working together.

These freelancer profiles also match your criteria

AgathaA

Agatha Frydrych

Backend Java Software Engineer

4.7

(3)

2

BaptisteB

Baptiste Duhen

Fullstack developer

4.6

(4)

5

AmedA

Amed Hamou

Senior Lead Developer

4

(2)

7

AudreyA

Audrey Champion

Web developer

4.3

(3)

4

Education

  • Licence Génie Logiciel
    IFRI-UAC
    2019
    Licence en Génie Logiciel Spécialiste de conception et développement d'applications mobiles web et Desktops. Administration de bases MySQL PostgresSQL ORACLE
  • Master of Science in Engineering of Artificial Intelligence
    Carnegie Mellon University
    2024
    The MS EAI degree intersects with specific engineering disciplines but more importantly cuts across important problems in areas such as transportation, building systems, manufacturing, energy, agriculture, security, health, and climate. We learn to combine a foundation in artificial intelligence, machine learning, and data science with engineering, information technology, and software skills through theoretical and practical hands-on study of real-world applications.

Certifications

Skill set

Categories