Final year Master 2 student in Artificial Intelligence with strong foundations in designing AI solutions and technical expertise developed during an alternance. Available from September 2026 for an AI Engineer or Data Scientist role.
AI intern at Seelab.ai. I contribute to development and deployment of ML models and production pipelines. I enjoy solving real-world problems by combining scientific rigor and pragmatic engineering.
- 🔭 Current: AI intern — Seelab.ai
- 🎓 Education: Master 2 in Artificial Intelligence (final year)
- 📆 Availability: from September 2026
- ⚡ Interests: NLP, diffusion models, reinforcement learning, multi‑objective optimization
AI & Machine Learning
- NLP: tokenization, encoder‑decoder architectures (LSTM), Transformers
- Reinforcement Learning: PPO implementation (Proximal Policy Optimization)
- Diffusion models, multi‑objective optimization (PyMOO)
- Supervised & unsupervised ML
Frameworks & libraries
- PyTorch, TensorFlow, scikit‑learn
Languages & GPU
- Python, R, C, CUDA,
Data & visualization
- pandas, NumPy, Matplotlib, Seaborn
Tools & environments
- Linux, GPUs (CUDA), OpenAI Gym
-
Seq2Seq Translation EN ↔ FR
- Description: English ↔ French translator (Seq2Seq / Transformers).
- Repo: https://github.com/amina-lahlah/Seq2Seq-Translation-EN-FR
- Role: author / maintainer
- Tech: Python, PyTorch, tokenization, attention
-
PPO for LunarLander
- Description: PPO implementation to train an agent on the LunarLander environment (OpenAI Gym).
- Repo: https://github.com/amina-lahlah/PPO_LunarLanders
- Role: author
- Tech: PyTorch, OpenAI Gym, RL
I regularly join hackathons — recent examples:
- ActInSpace — AI applied to space-related problems (January 2026)
- Rennes Data Challenge — AI for a finance problem using RL and genetic algorithms (January 2026)
- Orange Think & Pitch — AI to improve customer relations (October 2025)
- AGrennDEfi — AI for agriculture (September 2025)
- Email: aminalahlah.m@gmail.com
- LinkedIn: Amina LAHLAH
- GitHub: github.com/amina-lahlah