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Malt Strategy
Edwin ZajacEZ

Edwin Zajac

ML Engineer, AI Engineer, Data Scientist

€360/day
Marseille, FR
0-2 years
Machine learning
Model Deployment
Adaptability & Communication
Data analysis
Computer Vision

Average response time: 1 hour

About Edwin

Curious and adaptable, I’ve built and deployed models across a from computer vision for drones and plant health detection, to time series forecasting for energy systems, to signal processing for security. I love solving real-world problems, especially those that have strong impact : health, sustainability, or innovation.

🔹 Strong in Machine Learning, Deep Learning, and Generative AI
🔹 Hands-on with Computer Vision (YOLOv7, Mediapipe, image classification/segmentation)
🔹 Proficient in Python, PyTorch, TensorFlow, scikit-learn
🔹 Experience with Signal Processing (QPSK), SARIMA
🔹 Built full data pipelines, dashboards, and Streamlit apps; connected to APIs (SharePoint)
🔹 Comfortable with SQL, Pandas, Geopandas, Git, Linux

I enjoy learning on the fly, getting up to speed with new tools or data, and building something that actually gets used. I’m also keen on working within an interdisciplinary team and love to learn from others.

Let’s build something that matters.
Environmental and Sustainable Development
Digital Business Models

  • French

    Native or bilingual

  • Polish

    Native or bilingual

  • English

    Fluent

  • Japanese

    Basic

  • Spanish

    Basic

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

Experience

  • NepTech,
    Data Scientist Intern
    April 2025 - Today (1 year and 2 months)
    Marseille, France
    Built relational database with automated SharePoint API synchronization for real-time data ingestion from CFD results. Developed energy consumption prediction models for electric boat fleet using ensemble architectures, achieving 8% MAPE for ship resistance calculations and reduced worst-case scenarios. Deployed Streamlit application enabling non-technical staff to generate energy forecasts, reducing CFD simulation time for pre-project calculations. Implemented model validation framework and conversational AI interface for dataset exploration.
  • Doshisha University,
    Data Scientist Intern
    September 2023 - February 2024 (5 months)
    Kyoto, Japan
    Worked on QPSK modulation and computed encoding/decoding error in message transmission based on a paper research, including a study of numerical stability and estimation of key parameters.
  • 3L-Optronics,
    Data Scientist Intern
    March 2023 - September 2023 (6 months)
    Marseille, France
    Developed a semi-supervised learning method for the recognition of diseased apple tree leaves, combining YOLOv7 for detection and classification algorithms like Efficient Teacher on 3000 images, with a comparison of two approaches to optimize performance.
Check out Edwin's experience

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Education

  • Master degree in Engineering
    Centrale Marseille Engineering School
    2025
    Master degree in Engineering
  • Information and Data Science
    Doshisha University
    2024
    Information and Data Science

Certifications

  • Transformers Hugging Face Course
    Hugging Face
    2025
    Transformers LLM Vector Embeddings

Skill set

Scikit-learn
Dashboard
Generative AI
NLP

Categories

  • Other