Oct 2025 - Present
MSc in Natural Language Processing
- Building foundational knowledge in computational linguistics, machine/deep learning, transformers, LLMs, and GenAI.
- Developing projects using Python and NLP libraries such as Hugging Face Transformers, spaCy, PyTorch, and NLTK for text processing and model building.
- Researching code-generation principles in NLP, an intersection of AI and software engineering; wrote a term paper on how autoregressive language models perform Fill-In-the-Middle (FIM) code generation.
- Learning MLOps, LangChain, MCP, and Vector/Graph databases.