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AyaMekni/README.md

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Let’s build useful, explainable AI — fast.

👩‍💻 About Me

  • I build end‑to‑end, production‑ready AI systems — from robust data pipelines and feature engineering to model training, API deployment, and observability.
  • LLM/RAG applications, agentic AI, and MLOps are my jam: I turn real‑world problems into measurable impact.
    • LLMs & RAG with LangChain + vector DBs (Neo4j) • explainability & evaluation
    • Data engineering with Pandas/Spark • CI/CD for ML (GitHub Actions, Docker, MLflow)
    • Clear communication: dashboards, KPIs, and insights for stakeholders

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🧠 Core Tech Stack

Skills

🔎 Impact Highlights

  • 📈 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

🚀 Selected Projects

  • 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

🏅 Certifications

Certification Date Provider
Fundamentals of Deep Learning Mar 2025 NVIDIA
Generative AI with Diffusion Models Jun 2025 NVIDIA
Applications of AI for Predictive Maintenance Apr 2025 NVIDIA
Introduction to Transformer‑Based NLP Aug 2025 NVIDIA
Azure AI Fundamentals (AI‑900) Feb 2025 Microsoft
Scrum Fundamentals Certified ScrumStudy
DevOps Fundamentals KodeKloud

📊 GitHub at a Glance

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🗓️ Availability

  • 🔥 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

🤝 Let’s Connect

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