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Sofiane Agouni KaciSA

Sofiane Agouni Kaci

Data Scientist / AI Engineer

€400/day
Paris, FR
0-2 years
Python
Pytorch
SQL
Langchain
Computer Vision

Average response time: 1 hour

Freelancer profile translated to English.
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About Sofiane

  • French

    Native or bilingual

  • English

    Fluent

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

Experience

  • BNP Paribas
    Data Scientist
    May 2024 - August 2025 (1 year and 3 months)
    Paris, France
    Project 1: Machine Learning Models for HR Data

    Design and development of supervised and unsupervised classification models applied to HR data.
    Preprocessing, training, evaluation, and performance improvement of the models.

    Project 2: Hybrid NER System

    Development of a Named Entity Recognition system combining fuzzy matching and Transformer models.
    Use of bi-encoder and cross-encoder architectures to improve information extraction accuracy.

    Project 3: CamemBERT Fine-tuning

    Fine-tuning the CamemBERT model for sentiment analysis on HR data.
    Use of LoRA and QLoRA techniques to reduce training costs while maintaining performance.

    Project 4: AI Model Bias and Robustness Analysis

    Evaluation of model explainability and robustness with SHAP and LIME.
    Measurement of biases using WEAT, SEAT, and various fairness metrics.

    Project 5: SkillBOT

    Design of an AI agent based on LangChain and LangGraph.
    Automatic extraction of skills from textual descriptions using an agentic architecture.

    Project 6: Business AI Integration

    Development of a complete pipeline from data preparation to the integration of AI models into business processes.
  • Pyxiscience
    AI Engineer / Python Developer (Fixed-term contract)
    May 2024 - August 2025 (1 year and 3 months)
    Paris, France
    Pyxiscience — AI Engineer / Python Developer (Fixed-term contract) (August 2024 – August 2025)

    Project 1: AI Pipelines for LLMs

    Development of Python pipelines for integrating and orchestrating large language models into applications.

    Project 2: LLM Model Optimization

    Optimization of GPT, Claude, and Mistral models through prompt engineering, log-likelihood, and TextGrad.

    Project 3: RAG System

    Design of a Retrieval-Augmented Generation system with data structuring and indexing to improve generated responses.

    Project 4: Generation Optimization

    Improvement of the quality and performance of generative models through various optimization strategies.

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Education

  • M.Sc. Vision and Intelligent Machines
    University of Paris Cité
    e — Master Vision et Machines Intelligentes
  • B.Sc. Computer Science
    Sorbonne Paris Nord University
    Licence Informatique

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