Alexandre Personnic
ML Research Apprentice
- Date of Birth: March 2000
- Location: Toulouse, France
- Phone: +33 6 50 28 83 14
- Email: alexandre@personnic.eu
- GitHub: https://github.com/Alexandre-Pe
- LinkedIn: https://www.linkedin.com/in/alexandre-personnic-853b971b7/
- Personal Website: https://alexandre.personnic.eu
- Nationality: France
Languages
- French (Native)
- English (Fluent)
- Spanish Comprehension)
Hard Skills
- 💻 Python - R - Ada - C - Java
- ☁️ Cloud Services
- AWS SageMaker & EC2
- Azure Functions & VM
- Kaggle
- Google Colab
- 📄 Version Control & Collaboration
- Git
- Docker
Soft Skills
- 🔍 Quick problem-solving and comprehension
- 📋 Hardworking & Organised
- 👥 Collaborative and effective in Teamwork
Personal Project
- 🤖 Simple python bot for MMORPG
Working Experience
Capgemini Engineering - Apprenticeship (Sep. 2021 - Feb. 2024)
Collaborated with a dynamic research team, demonstrating strong analytical and teamwork skills while implementing advanced techniques and fostering a collaborative environment within the team.
Quantization and Dockerisation (3 Months, in Toulouse)
- Applied quantization methods to a real-time Speech-to-Text (STT) system.
- Dockerisation of the final solution to allow easy usage in the company.
Data Augmentation Techniques (4 Months, in Toulouse)
- Explored advanced data augmentation techniques for audio datasets.
- Implemented a comparison benchmark for different methods and models on AWS.
Quantum Machine Learning (3 Months, in Utrecht)
- Implemented quantum machine learning algorithms for structural analysis.
Sustainable AI (10 Months, in Toulouse)
- Contributed to a project focused on evaluating and reducing the environmental impact associated with AI computations.
- Developed a Python library to measure the energy consumption of training and inference.
- Implementation of a workflow on AWS to document energy consumption of popular Computer Vision and Natural Language Processing models.
Akanthas - Software Development Intern (June 2021 - July 2021)
Followed Agile methods during my internship at Akanthas, where I played a key role in developing a Python backend for the website and deploying a Computer Vision model on the Azure platform while respecting our data privacy constraints. Demonstrated adaptability and collaboration within a fast-paced development environment of a young start-up.
CEA Cadarache - Intern Student (Nov. 2015 - Dec. 2015)
Introduction to scientific research and project management on the construction of the Jules Horowitz Reactor for nuclear and medical research at CEA Cadarache.
Education
- Sep. 2021 - Feb. 2024: Modeling and Artificial Intelligence, INSA Toulouse
- Acquired valuable mathematical and statistical foundations of ML, AI, and Data Science.
- Focus on Statistics, Optimization, Data-Driven Problem Solving, Finite Element Modeling, Meta-Modeling, Finance, and Actuarial science.
- Sep. 2020 - Feb. 2024: Modeling and Artificial Intelligence, ENSEEIHT
- Developed strong technical proficiency in artificial intelligence, covering diverse areas of ML.
- Deep Learning, Signal Processing, Scientific Computing, High-Performance Scientific Computing, Cloud platform, Graph Theory, Reinforcement Learning, and Big Data. Also, enhanced communication, management, and English skills.
- Sep. 2018 - June 2020: MPSI-MP*, Lycée Masséna
- Intensive preparatory classes for entrance competitions to engineering schools. Focus on mathematics and physics with computer and engineering science.
Extra-Curricular Activities
- Exploration: Currently planning a month-long inter-rail trip in Eastern Europe.
- Improv.: Improvisation theatre in French and English.
- Hobbies: Piano, fantasy novels, video games, badminton.