Naif ASSWIEL
Machine Learning Student
Currently in second year of master in Artifcial intellgence degree at the university of Le Mans, looking for internshiop of 6 months for final year in Reasearch or relative role in AI
About Me
I specialize in deep learning, computer vision, and natural language processing, with a strong background in Python, TensorFlow, and PyTorch. I love tackling complex problems and turning data into actionable insights.
Work Experience
mai - jul 2025
Intern @ LIUM
- Implementing and adapting state-of-the-art models for audio-visual deepfake detection
- Training models on large-scale datasets to replicate state-of-the-art results
- Utilizing and managing GPUs to ensure efficient resource allocation
- Researching and training models on temporal deepfake detection using specialized temporal datasets
Education
Master of Artificial Intelligence
2024 - present
Le Mans Univeristy
Specialized in machine learning algorithms, deep learning, and computer vision.
Bachelor of Computer Science
2021 - 2024
Univeristy of Montpellier
Strong foundation in mathematics, programming, and data structures.
DELF B2 - French Language
2021
Vichy, France
Certifications
Deep Learning Specialization View Certificate
- Develop an image binary classification model using logistic regression or a deep neural network.
- Learn the fundamentals of convolutional neural networks (CNNs), including padding, pooling, stride, and filters.
- Gain an understanding of advanced CNN architectures such as ResNet and MobileNets.
- Build a CNN model for sign language recognition as well as a ResNet-50 model.
- Detect cars and other objects in images for autonomous driving using the YOLO object detection model.
- Implement a facial recognition system with FaceNet to identify and verify individuals from facial images.
- Apply image segmentation techniques using the U-Net architecture.
- Employ optimization strategies to mitigate overfitting, such as Dropout and BatchNorm.
Machine Learning Specialization View Certificate
- Build and optimize a linear model with gradient descent, and implement a regularized logistic model for binary classification.
- Use a neural network to recognize handwritten digits (0–9).
- Construct a decision tree by applying concepts such as entropy and information gain.
- Detect anomalies in datasets using Gaussian distribution models.
AI Foundations for Everyone View Certificate
- Mastery of the fundamentals of AI, including machine learning, deep learning, and neural networks.
- Mastery of the foundations of generative AI, notably the use of large language models (LLMs) and prompt engineering.
- Familiarity with the ethical implications and challenges associated with the adoption of AI in enterprises.
Skills
Machine Learning and Data Analysis
TensorFlow, PyTorch, Keras, NumPy, pandas, scikit-learn, Matplotlib
Development Environments
Google Colab, JupyterLab (Anaconda), VS Code
Database Management Systems
Oracle, MongoDB
Programming Languages
Python, C, C++, Java, JavaScript, HTML
Office and Documentation Tools
Microsoft Word, PowerPoint, Excel, LaTeX
Projects
TrAP - TroubleMaker Agent Platform
2025
- Develop a pedagogical agent for medical education using large and small language models (LLM/SLM).
- Implement retrieval-augmented generation (RAG) techniques to produce challenging and ambiguous responses that promote critical thinking.
- Design the front-end interface using React.
- Manage the back-end functionality with Django.
Python
TypeScript
Django
Credits to: Idir Akretche, Lucas Schmitt, Amine Kessemtini
Image generation and classification
2024
- Use convolutional neural networks (CNNs) to classify images (e.g., tiger vs. non-tiger).
- Explore generative adversarial networks (GANs) to generate images.
- Apply variational autoencoders (VAEs) to create images, reduce noise, and add colors.
- Employ transfer learning, with models such as ResNet-50, to improve accuracy and reduce overfitting.
Python
TensorFlow
PyTorch
ShopEase
2025
- Develop a comprehensive e-commerce mobile app using Flutter for the front-end and Dart for framework support.
- Implement a FastAPI and Firebase backend to manage data, authentication, and server-side operations.
- Provide a seamless shopping experience for both customers and vendors with an intuitive interface.
Dart
Python
FastAPI
Firebase
Credits to: Amine Kessemtini
Ronaq matjaar
2025
- Built a full-stack Arabic e-commerce store using Next.js and TypeScript with MongoDB database.
- Implemented admin dashboard with secure authentication, product management, and mobile-optimized image uploads.
- Integrated WhatsApp ordering system and deployed responsive RTL website on Vercel with cross-platform compatibility.
- Solved production deployment issues including server-side rendering and mobile browser compatibility for gallery image uploads.
Next.js
TypeScript
MongoDB
Vercel
Django Blog Platform
2025
- Develop a comprehensive blog platform using Django with user authentication and profile management.
- Implement image uploads and complete CRUD operations for posts.
- Create smart content display logic with expandable previews for long posts and pagination system.
- Design dynamic post containers that automatically adjust to content length.
- Build responsive user interface with Bootstrap and JavaScript interactions.
- Integrate password management and optimized user experience with related posts and navigation features.
Python
Django
Bootstrap
JavaScript
Interests
📖
Reading
🎞️
Watching Documentaries
🎲
Board Games
Get In Touch
Let's Connect
I'm always open to discussing new opportunities, interesting projects, or just having a chat about machine learning and technology.
naif.asswiel@gmail.com
+33 7 49 61 63 25
Le Mans, Pays de la loire, France