Rafal comes to us with three years of experience in AI and Machine Learning. A few of his accomplishments include:
- Building unsupervised learning for text from social media.
- Retrieving clusters of users relevant from an ad targeting point of view.
- Using Doc2Vec representation of short posts and comments.
- Serving as team captain in the national finals of the European Best Engineering Competition. Author of a scientific publication on algebra and statistics.
At Sigmoidal, Rafal has mainly been working on document classification and ad revenue optimization. He has also been working on Reinforcement Learning models.