Ondřej Měkota
personal webpage
who am i
Hello, I am computational linguist.
education
2019–2021, Master's in Computational Linguistics
Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University. My thesis is on link prediction in inferred social network. I graduated summa cum laude.
Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University. My thesis is on link prediction in inferred social network. I graduated summa cum laude.
2016–2019, Bachelor's in Computer Science
Faculty of Mathematics and Physics, Charles University. My thesis is on GAN-based anomaly detection.
Faculty of Mathematics and Physics, Charles University. My thesis is on GAN-based anomaly detection.
experience
August 2021 – now Heureka Group
Machine Learning Engineer
Machine Learning Engineer
July 2020 – June 2021 SAP
Data Science Intern, Concur DevOps Logging Team
Data Science Intern, Concur DevOps Logging Team
October 2020 – February 2021 University of Jena
Short term project. I developed a pipeline for morphological tagging, lemmatization and alignment in 30+ languages.
Short term project. I developed a pipeline for morphological tagging, lemmatization and alignment in 30+ languages.
my skills
Machine learning: Neural Networks, Reinforcement Learning, Graph Neural Networks, HMMs, Recommender Systems, ...
NLP: Neural Machine Translation, Speech Recognition, semantic/syntactic/morphological analysis, Information Retrieval, Dialogue Systems [1]
Programming: Python (with PyTorch, Tensorflow, NumPy, Pandas, Scikit-learn, spaCy, ...), C++, bash, and to some extent C#, PHP, and JavaScript
Databases: ElasticSearch, Redis, PostgreSQL, Neo4j