- 📈 EDA + anomaly detection on 7k+ gameplay logs → clear learning trends for educators
- 🧠 RAG + Neo4j recommender (LLMs, LangChain) → ~75% matching accuracy
- ⚡ Eventify (real‑time dashboards, WebSockets, MFA/RBAC) → +25% user engagement
- 🩺 Medical ML: AUROC 0.78 (radiomics, SVM) • 🎙️ SER CNN → 85% weighted‑F1
- 🧰 Reproducible ML: MLflow + Docker + CI/CD
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AfriOffres — hybrid TF‑IDF + embeddings + RAG; +15% Recall@10; scalable scraping + APIs
Tech: Python, FastAPI, MongoDB, Selenium, BeautifulSoup, LangChain -
Trash to Cash — EfficientNet‑B3 classifier (macro‑F1 0.85), YOLOv5 brand‑level detection (~80% precision)
Tech: Python, TensorFlow, PyTorch, YOLOv5, FastAPI, MongoDB -
Lung Cancer Prediction — SVM on radiomics; AUROC 0.78; deployed with MLflow + Docker
Tech: Python, scikit‑learn, MLflow, FastAPI, Docker -
Smart‑city Traffic Forecasting — ARIMA/SARIMA with seasonal modeling (MAE, RMSE, MAPE)
Tech: Python, statsmodels, scikit‑learn -
Speech Emotion Recognition (SER) — CNN on log‑mel spectrograms; 85% weighted‑F1
Tech: Python, TensorFlow/Keras, Librosa
- 🔥 Actively seeking: 6‑month AI Engineering internship starting January 2026
- 🎯 Focus: AI/ML Engineering, MLOps, LLM/RAG applications
- 🌍 Location: Monastir, Tunisia • Open to international relocation
- 📧 Email: [email protected]
- 💼 LinkedIn: aya-mekni
- 🌐 Portfolio: aya-mekni-portfolio.vercel.app
- 🐙 GitHub: ayamekni
- 📱 Phone: +216 92 819 319