I am a Ph.D. candidate in Interpretable Machine Learning (Explainable AI) at KTH Royal Institute of Technology
A study of data and label shift in LIME framework, available at: https://arxiv.org/abs/1910.14421
An LP-based hyperparameter optimization model for language modeling. Available at: https://link.springer.com/article/10.1007/s11227-018-2236-6
Bringing the statistics and data analysis from Data-driven decision making framework for companies that need to focus on data
Developing micro-services using Node.js, Docker and virtualization frameworks. Working on data engineering pipelines using Python 3 and Jupyter Notebooks.
Developing Vizabi, an open source data visualization framework based on D3.js
Apart from being a PhD student, I enjoy reading literature and philosophy. I have a passion for movies and I consider myself a serious movie buff. I am very bad at playing chess, but I'd like to become a good chess player sometime in the future.
When I need to get a little bit of a rush in my veins, I would like to go out running around the Stockholm town.