Position: Senior Data Scientist / Machine Learning Engineer / Team Lead / Tech Lead
Category: Data Science
English level: fluent
Years of experience: 6

- BS in Computer Science
- Built a data processing pipeline for automated receipt recognition. Utilized Computer Vision and NLP techniques for image and text processing, deployed models for prediction through REST APIs;
- Researched & developed a contextual AI assistant, from initial concept to a working prototype. Designed a process of data collection and labeling, utilized text classification and named entity recognition models for information extraction, and machine learning-based dialogue management;
- Built an AI-based Resume parser for En/Ru/Ua languages;
- Productionized a complex data pipeline for a Job marketplace with microservices using docker compose and bash scripts.
- Led a team of Computer Vision specialists in a startup where we created AI/AR version of the product utilizing Object Detection & Object Tracking ML solutions;
Business-oriented Data Scientist with 5 years of hands-on experience. Specialized in Natural Language Processing, Computer Vision, and Deep Learning.

Tech Skills:
- Python and it's scientific stack: Numpy, Pandas, Scikit-learn, Jupyter notebook
- Transformer, RNN, CNN architectures
- Deep Learning frameworks: PyTorch, TensorFlow, Keras, fastai
- NLP libraries: SpaCy, NLTK, Gensim, TextBlob, Transformers
- Cloud platforms: AWS, GCP, Paperspace
- Bash, Docker, SQL, Flask, REST APIs

Completed Projects in:
- NLP: Text/Document Classification, Named Entity Recognition, Text Summarization, Information Retrieval
- Computer Vision: Image Classification, Object Detection, Object Tracking, Semantic Segmentation
- Recommendation Systems: Collaborative filtering, Content-based filtering
Interested in a long-term full-time project related to Deep Learning. Preferably NLP, or some mixture of NLP with Computer Vision/Recommendation Systems.