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chalithalumbini/README.md

Hi 👋, I'm Chalitha Lumbini

MSc in Statistical Data Analytics (Distinction) • AI and Machine Learning Researcher

👨‍💻 About Me

  • 🎓 MSc in Statistical Data Analytics (Distinction), Tampere University
  • 💼 Telecommunications Engineer with 8+ years of industry experience
  • 🔬 Research interests in NLP, Machine Learning, Statistical Learning, and Trustworthy AI
  • 🌱 Currently exploring Federated Learning and Explainable AI

🚀 Research Interests

🤖 Machine Learning    🧠 NLP    📊 Statistical Learning    🌍 Machine Translation    🔍 Explainable AI    🔒 Trustworthy AI

📖 Master's Thesis

GRIS – Grammatical Interpretable Translation Scoring

An interpretable dependency-based metric for Machine Translation Evaluation.

Highlights

  • Dependency parsing
  • Universal Dependencies
  • Sentence Transformers
  • BERTScore
  • COMET comparison
  • Explainable evaluation

🛠️ Tech Stack

Programming

Python R SQL

NLP

HuggingFace spaCy NLTK Stanza

Machine Learning

PyTorch TensorFlow Scikit-Learn

📂 Featured Projects

⭐ GRIS – Interpretable Machine Translation Evaluation

⭐ Machine Learning Projects

⭐ Statistical Data Analytics

⭐ NLP Experiments

📈 GitHub Statistics

GitHub Stats

Top Languages

🤝 Connect with Me

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  1. GRIS GRIS Public

    Grammatical Interpretable Scoring - An interpretable matric for Machine Translation Evaluation

    Python 1

  2. chalithalumbini chalithalumbini Public

  3. rag-book-qa-summarizer rag-book-qa-summarizer Public

    Jupyter Notebook