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Abdelilah Y. AI, Machine Learning and Data Platforms

My name is Abdelilah Y. and I have over 0 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, Artificial Intelligence, Data Analysis, Retrieval Augmented Generation, Computer Vision, etc.. I hold a degree in Master of Science (MS), Master of Engineering (MEng), . Some of the notable projects I've worked on include: Local Multimodal RAG, Style Transfer, Fine-tuning a small language model for summarization. I am based in Les Ulis, France. I've successfully completed 3 projects while developing at Softaims.

I am a dedicated innovator who constantly explores and integrates emerging technologies to give projects a competitive edge. I possess a forward-thinking mindset, always evaluating new tools and methodologies to optimize development workflows and enhance application capabilities. Staying ahead of the curve is my default setting.

At Softaims, I apply this innovative spirit to solve legacy system challenges and build greenfield solutions that define new industry standards. My commitment is to deliver cutting-edge solutions that are both reliable and groundbreaking.

My professional drive is fueled by a desire to automate, optimize, and create highly efficient processes. I thrive in dynamic environments where my ability to quickly master and deploy new skills directly impacts project delivery and client satisfaction.

Main technologies

  • AI, Machine Learning and Data Platforms

    0 years

  • Machine Learning

    1 Year

  • Artificial Intelligence

    1 Year

  • Data Analysis

    1 Year

Additional skills

  • Machine Learning
  • Artificial Intelligence
  • Data Analysis
  • Retrieval Augmented Generation
  • Computer Vision
  • Hypothesis Testing
  • Python
  • pandas
  • PySpark
  • Python Scikit-Learn
  • PyTorch
  • XGBoost
  • LangChain
  • Transformer Model
  • Multimodal Large Language Model

Direct hire

Potentially possible

Previous Company

Idemia

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Experience Highlights

Local Multimodal RAG

Built a completely local RAG solution using llama.cpp, Qwen models, and Milvus—zero API calls, 100% data privacy. Processes PDFs, text, and audio files with semantic search and intelligent Q&A. Integr

Style Transfer

Implemented feed-forward neural style transfer based on Johnson et al. (2016) using PyTorch. Built transform network with instance normalization and residual blocks, trained on COCO dataset with perce

Fine-tuning a small language model for summarization

Fine-tuned Qwen2.5-0.5B-Instruct on CNN/DailyMail dataset (10K samples) using LoRA and Unsloth for efficient training. Implemented supervised fine-tuning with response-only loss masking. Evaluated usi

Education

  • l'X Ecole Polytechnique, Paris-Palaiseau, France

    Master of Science (MS) in

    2024-01-01-2025-01-01

  • EMINES, Mohammed VI Polytechnic University, Morocco

    Master of Engineering (MEng) in

    2021-01-01-2024-01-01

  • Lycée CPGE Ibn Timiya, Marrakech, Morocco

    in

    2019-01-01-2021-01-01

Languages

  • Arabic (Native or Bilingual)
  • German (Basic)
  • English (Native or Bilingual)
  • French (Native or Bilingual)