Lucas Deletang

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OBJECTIVE

Recent graduate in Data Science and Artificial Intelligence engineering, seeking a first job in the field of Computer Science, Data Science, or Artificial Intelligence.

Education

Institut Mines Télécom, Strasbourg 2022 - 2025

Engineering degree in Computer Science and Networks, Data Science and Artificial Intelligence

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: C, C++, Python, R, Matlab, Next.js, JavaScript, HTML, CSS, React, Tailwind, MongoDB, SQL, Java, C#, .NET, PyTorch, Docker, OpenGL, OpenGL ES, git (CI/CD), Kafka, Opensearch, Kubernetes (basic), AI tools

Skills: Machine Learning, Natural Language Processing, Deep Learning, RAG, AI Agent, LLM, Mathematics

Soft Skills: Teamwork, Leadership, Adaptability, Intellectual Curiosity

Experience

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

Natural Language Processing Project

Used TF-IDF for feature extraction combined with a SVM classifier to achieve over 87% classification accuracy in topic prediction from sentence data.


YOLOv8 Fine-tuning for License Plate Detection

Fine-tuned the YOLOv8 model to detect car license plates in security camera footage. Achieved 95% accuracy on a custom dataset, enabling real-time plate recognition in varied lighting conditions.


RC Car Control System with Raspberry Pi

Developed a system using Raspberry Pi to capture input from a car simulator on a computer and send commands to an RC car. Implemented real-time video feedback from the RC car to the simulator, creating an immersive remote control experience.


Distributed and Sharded MongoDB Cluster

Built a MongoDB cluster using replicaSet and sharding to ensure fault tolerance and efficient data distribution. The project includes a 5-node replicaSet (1 primary, 3 secondaries, 1 arbiter) and partitioned data across multiple shards to simulate a distributed environment capable of handling large volumes and ensuring service continuity in case of failure.


Website Development (in progress)

Website with Firebase authentication, purchasing functionality via Stripe, user data storage in a database, and more.