I'm a multilingual NLP and AI enthusiast working as a Prompt Engineer / Junior Data Scientist at Wyser. While also completing my MSc in Language Sciences: Technology of Language and Speech at UCL. I specialise in machine learning for language and speech, with a focus on low-resource NLP, speech emotion recognition, and LLM-powered applications.
My mission is to build human-centred AI systems that make language technologies more inclusive, accessible, and responsible.
- Multilingual NLP: Cross-lingual transfer learning, hate speech detection, low-resource language tools
- Speech Technology: Emotion recognition, noise-robust models, assistive tech for accessibility
- LLMs & Prompt Engineering: LLM integrations for structured-to-natural language generation
- Ethical AI: Fairness, bias mitigation, and inclusive language modeling
Languages & Libraries: Python, R, SQL, PyTorch, TensorFlow, Hugging Face, Scikit-learn
NLP & Speech: Transformers, SpaCy, Librosa, Praat, Seaborn, Matplotlib
Other: Git, Docker, MLOps (learning)
- SER in Noise: Speech emotion recognition under white noise (MSc dissertation)
- Misogyny Detection: Low-resource Swedish misogyny classification with multilingual Transformers
- Smart Writing Coach: LLM-based application that generates essay feedback for EFL students
- Advanced NLP architectures (LLMs, Retrieval-Augmented Generation)
- AI fairness metrics and debiasing strategies
- Lightweight model deployment (FastAPI, Streamlit, Docker)
- Based in the UK | SE
- Portfolio: Coming Soon
- Fluent in 5 languages (Russian, Spanish, English, Catalan, French)
- Occasional Advent of Code participant
- Enjoy reading (and sometimes writing!) fiction and poetry
Thanks for visiting & happy coding! 🐇