Experience

Adimen

• Ukraine
• IT Services and IT Consulting
• 1 - 100 Employee

• Engineering Manager / Data Scientist / Machine Learning Engineer

  • Sep 2020 - Present

  - Implemented a multilingual intent classification pipeline for chatbots applications. - Created a multilingual text clustering tool for self-supervised labelling; using this tool we partially automated the taxonomy generation task for raw texts. - Set up data storage and data versioning processes along with versioning and managing experiments. Stack: NumPy, pandas, scikit-learn, PyTorch, transformers, spacy, NLTK, faiss, bash, Docker - Implemented a multilingual intent classification pipeline for chatbots applications. - Created a multilingual text clustering tool for self-supervised labelling; using this tool we partially automated the taxonomy generation task for raw texts. - Set up data storage and data versioning processes along with versioning and managing experiments. Stack: NumPy, pandas, scikit-learn, PyTorch, transformers, spacy, NLTK, faiss, bash, Docker



DataMix

• Ukraine
• IT Services and IT Consulting
• 1 - 100 Employee

• Lead Data Scientist

  • Mar 2020 - Aug 2020

  - Developed a news clustering model using a Transformer-like model. - Implemented several models for licence plate recognition. Stack: NumPy, pandas, scikit-learn, PyTorch, transformers, spacy, NLTK, mmdetection, Docker, flask - Developed a news clustering model using a Transformer-like model. - Implemented several models for licence plate recognition. Stack: NumPy, pandas, scikit-learn, PyTorch, transformers, spacy, NLTK, mmdetection, Docker, flask



Samsung

• Киев, Украина

• Machine Learning Engineer (NLP)

  • Jul 2019 - Mar 2020

  - Developed a data augmentation pipeline for NER models for cybersecurity domain. - Refactored a data preparation tool, resulting in a lower number of corrupted texts which increased a NER model performance by 3-5% depending on the entity type. - Implemented an event detection pipeline for twitter data. Stack: NumPy, pandas, scikit-learn, PyTorch, flair, transformers, spacy, NLTK - Developed a data augmentation pipeline for NER models for cybersecurity domain. - Refactored a data preparation tool, resulting in a lower number of corrupted texts which increased a NER model performance by 3-5% depending on the entity type. - Implemented an event detection pipeline for twitter data. Stack: NumPy, pandas, scikit-learn, PyTorch, flair, transformers, spacy, NLTK



LinkAlong

• Switzerland
• IT Services and IT Consulting
• 1 - 100 Employee

• Data scientist (NLP)

  • Jun 2018 - Jun 2019

  - Prepared several datasets for evaluation of text clusterization approaches. - Extended the existing topic detection system with 3 new languages (Chinese, Arabic, Spanish). - Adapted a tensorflow-based BERT model for multilabel topic classification, outperforming the previously existing rule-based approach by a significant margin. Stack: NumPy, pandas, scikit-learn, NLTK, Stanford NLP, spacy, TensorFlow, Docker - Prepared several datasets for evaluation of text clusterization approaches. - Extended the existing topic detection system with 3 new languages (Chinese, Arabic, Spanish). - Adapted a tensorflow-based BERT model for multilabel topic classification, outperforming the previously existing rule-based approach by a significant margin. Stack: NumPy, pandas, scikit-learn, NLTK, Stanford NLP, spacy, TensorFlow, Docker



DataRoot Labs

• Ukraine
• Software Development
• 1 - 100 Employee

• Data science Trainee

  • Sep 2017 - Mar 2018

  - As a final project, implemented a UNet-based model for retina vessels segmentation. Stack: NumPy, pandas, scikit-learn, TensorFlow, flask - As a final project, implemented a UNet-based model for retina vessels segmentation. Stack: NumPy, pandas, scikit-learn, TensorFlow, flask



Materialise

• Belgium
• Software Development
• 700 & Above Employee

• Medical Engineer

  • Mar 2017 - Jan 2018

  - Created several hundreds of personalized 3D models of human craniums based on CT scans. - Prepared a number of plannings for maxillofacial surgeries. - Created several hundreds of personalized 3D models of human craniums based on CT scans. - Prepared a number of plannings for maxillofacial surgeries.