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Ales AbdiAA

Ales Abdi

AI/ML Engineer

€350/day
Paris, FR
0-2 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Ales

Computer engineering student specializing in Artificial Intelligence / Machine Learning, I assist freelancers, SMEs, e-commerce businesses, and students with practical needs in Python, data, automation, and applied AI.

I can undertake several types of projects:

  • Automating Excel files, reports, extractions, and repetitive tasks;
  • Data cleaning, structuring, and analysis;
  • Creating dashboards and reporting tools;
  • Python scripts, APIs, scraping, and data processing;
  • Machine learning projects: data preparation, training, evaluation, notebooks, visualization;
  • AI automations for e-commerce: product descriptions, customer review analysis, emails, internal workflows;
  • Setting up small internal tools to save time;
  • Assistance with understanding, debugging, or improving Python / data / AI projects.

I have worked on several academic and technical projects involving machine learning, data visualization, recommendation systems, deep learning, cybersecurity, cloud, and deployment.

My approach is simple: understand the business problem, propose a realistic solution, deliver a clear, documented, and directly usable tool. I don't aim to sell unnecessary complexity: I build solutions that save time, reduce errors, and make data actionable.
  • English

    Fluent

  • French

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • Epigene Labs
    AI/ML Engineer
    May 2025 - January 2026 (8 months)
    Lyon, France
    • • Implementation of OntoVAE, a Variational Autoencoder structured by the Gene Ontology, for interpretable tissue classification applied to the diagnosis of Cancer of Unknown Primary.
    • • 96.97% balanced accuracy on GTEx (27 tissue types) and 92% accuracy / 98% top-5 on TCGA (38 tumor sites).
    • • Complete pipeline: preprocessing, ontology construction, VAE training (KL annealing, Huber loss) and XAI analyses (SHAP, biological signatures, in silico gene knockout).
    • • Architectural optimization (skip connections O(n²) → O(n), sparse masks) and development of an XAI Streamlit dashboard; responsible for data engineering in an Agile team of 3.
    Python Machine learning Deep Learning Scikit-learn Pytorch
  • My Student Teacher
    Tutor – Mathematics & Physics
    September 2023 - January 2025 (1 year and 4 months)
    Paris, France
    • • Coaching high school and university students (1st/2nd year); adapting teaching methods to individual profiles.
    Mathematics Physics Pedagogy Methodology Personalized support

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Education

  • EPITA
  • of anomalies
    d'anomalies

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