AI Research Engineer · Deep Learning · Data Science
I work at the intersection of artificial intelligence, deep learning, and scientific computing. I am interested in building useful machine learning systems, understanding how they work, and turning research ideas into clear, reproducible implementations.
- Deep learning and representation learning
- Generative and multimodal AI
- Model training, evaluation, and reproducible experimentation
- Data analysis and scientific computing
My everyday toolkit includes Python, PyTorch, TensorFlow, Keras, Transformers, scikit-learn, NumPy, Pandas, SciPy, CUDA, and Jupyter. For software engineering and infrastructure, I also work with Go, Node.js, Docker, MySQL, Git, and VS Code.
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Hugging Face
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I am open to research collaborations, engineering projects, and conversations about AI, deep learning, and scientific computing.



