I am a second-year engineering student specializing in Machine Learning and Data Science. My work sits at the intersection of AI research, software engineering, and game development. I focus on building reproducible experiments, production-ready prototypes, and compact technical deliverables for academic and competition settings.
- Deep Learning: Proficient in PyTorch and TensorFlow for model development, with hands-on experience implementing transformer architectures and production ML pipelines
- Supervised & Unsupervised Learning: Expertise in classification, regression, clustering, and time-series forecasting models
- Reinforcement Learning: Implementation of RL agents and evolutionary algorithms (NEAT) for autonomous systems and game AI
- Natural Language Processing: End-to-end speech processing pipelines including ASR/TTS integration and conversational AI systems
Backend Development:
- RESTful API design with FastAPI, microservices architecture, and containerization using Docker
- Data Engineering: ETL pipeline design, database optimization (SQL, DuckDB), and real-time data processing systems
- Monitoring & Visualization: Time-series analysis dashboards, anomaly detection systems
Graphics & Game Development
- Godot (GDScript/Lua integration), Raylib, OpenGL basics for visualization and physics simulations.
- Projects integrating AI agents into games and simulations (autonomous agents, RL-based opponents).
Technical Proficiencies Programming Languages
- GitHub: https://github.com/Moad26
- LinkedIn: https://www.linkedin.com/in/moua%C3%A2d-el-yalaoui-a64582316/
- Email: [email protected]