Lucas Deletang

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OBJECTIVE

Recent graduate in Data Science and Artificial Intelligence, seeking a first job in Data Science / Artificial Intelligence.

Education

Institut Mines Télécom, Strasbourg 2022 - 2025

Engineering degree in Computer Science and Networks

University of Strasbourg 2023 - 2025

Master's in Data Science and Complex Systems

CPGE Prytanée National Militaire 2020 - 2022

Preparatory Classes for Grandes Écoles (CPGE) - Mathematics and Physics

Skills and Languages

Languages: French (Native), English (Fluent, C1 (TOEIC)), Spanish (Beginner)

Programming Languages: Python, R, MongoDB, SQL, PyTorch, Docker, git (CI/CD), Kafka, Opensearch, Kubernetes (basic)

Technologies: PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy, Docker, Git, GitHub Actions (CI/CD), Kafka, MongoDB, PostgreSQL, OpenSearch, Kubernetes (basics)

Skills: Machine Learning, Deep Learning, Natural Language Processing (NLP), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Data Analysis, Predictive Modeling, Data Visualization, MLOps

Soft Skills: Teamwork, Leadership, Adaptability, Intellectual Curiosity, Problem Solving

Experience

Freelance Software Engineer October 2025 – Present

Freelance, France

  • Migrated and optimized APIs from Python to Rust, achieving significant performance improvements (reduced latency and increased throughput).
  • Developed system-level applications in C with a strong focus on performance and efficiency.
  • Designed and implemented an embedded environmental monitoring system on Raspberry Pi (sensor interfacing via GPIO, real-time data collection and processing).
  • Gathered client requirements and delivered robust, maintainable solutions tailored to specific use cases.

Engineering Intern March 2025 - August 2025

Thales Alenia Space, Cannes, France

  • Created an AI agent using the Smolagents framework, enabling agentic RAG and querying a database to answer user questions.
  • Developed an AI assistant that live-corrects requirements written by engineers based on a predefined rule set.

Data Science Intern May 2024 - August 2024

VTEC Lasers & Sensors Ltd, Eindhoven, Netherlands

  • Created a Python application to visualize CSV files and analyze them using AI.
  • Applied computer vision techniques to improve wafer production yield.
  • Processed and analyzed time series data using Pandas, Numpy, and Matplotlib.

Engineering Project (LLM Analysis) Jan 2024 - Feb 2025

Euro Information, Strasbourg, France

  • Analyzed Large Language Models (LLMs) for instances of sexism.
  • Developed and implemented algorithms to detect biased language in LLM outputs.
  • Proposed solutions to mitigate gender bias in LLMs.

Some Projects

Text Analysis and Automatic Classification

Implemented a Natural Language Processing pipeline using TF-IDF for feature extraction and a SVM classifier. Achieved over 87% accuracy in predicting sentence topics from the dataset.


License Plate Detection with YOLOv8

Fine-tuned the YOLOv8 model to detect license plates from surveillance camera images. Achieved 95% accuracy, allowing real-time recognition even in varying lighting conditions.


AI Project for an E-commerce Client

Developed a recommendation system using Machine Learning to analyze user behavior and suggest personalized products, increasing the conversion rate by 15%.


Lucas Deletang Portfolio