A collection of personal and academic projects developed over the years, from AI and NLP to data science and software development.
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As a 5th-year EPITA student specializing in Artificial Intelligence, my work focuses on generative AI, data science, and machine learning. I'm passionate about projects that apply complex algorithms and AI to real-world applications, from NLP and computer vision to big data analysis.
- Built a recommendation system leveraging data from MovieLens and IMDb datasets.
- Integrated information on genres, metadata, and user ratings to suggest relevant movie pairings.
- Demonstrated expertise in data preprocessing, collaborative filtering, and content-based recommendation techniques.
- Built using C# .NET, TypeScript, HTML/CSS (Angular), Python, Kafka, and Docker.
- Designed to handle high throughput, demonstrating my ability to develop real-time, scalable systems.
- Developed a Reddit bot using LangChain (GPT-4) for automated problem-solving.
- Capabilities include constraint satisfaction (CSP), Sudoku solving, and real-time reformulation.
- Created a financial analysis platform using Pandas for big data processing.
- Built an interactive dashboard with Plotly/Dash; deployed with Docker and SQL for backend.
- Developed an NLP pipeline to detect toxic comments on Twitch.
- Models include logistic regression, SVM, and random forests with evaluation metrics like accuracy and F1-score.
- A custom implementation of DALL-E inspired by OpenAI's model for image generation.
- Simple RAG model prototype created to explore retrieval-augmented generation in NLP applications.
Here are the main tools and languages I use in my projects:
- Programming Languages: Python, C, C#, C++, Java, R
- AI & Machine Learning: LangChain, PyTorch, SciKit, Keras
- Data Analysis & Big Data: Pandas, MongoDB, SQL, Docker
- Web Development: Angular, Plotly/Dash
- NLP & Computer Vision: spaCy, NLTK, ResNet, CNNs
Samy Hadj-Said - @LinkedIn - samssy482@gmail.com
GitHub: https://github.com/samy-hadj