Position: NLP Engineer, part-time NLP projects
Category: Data Science
English level: upper
Years of experience: 6

- ML pipelines created from the beginning to the end, including deployment
- Pet-project in Deep Learning field
- Ad traffic optimisation projects
I'm ready to resolve part-time projects in NLP field, which includes transformers usage and SOTA approaches to the NLP task solving (Generative AI models), also familiar with classic approaches in NLP.

NLP Engineer/ Data Scientist with experience in various domains: AdTech, Location Data Verification, FinTech.

I have experience in geo-data processing and Natural Language Processing (including standard approaches like tf-idf etc. and deep learning - BERT, m-BERT (using PyTorch) and other models - covering set of languages, including low-resourced languages).

I've built ML/DS pipelines from the beginning (data collection and preprocessing) to the end.  Also I had projects done from my side starting from business problem identification and clarification to test/methodology validation and production usage.

I've created models to predict store visits, gender, accuracy of locations etc. Built R and Python libraries to use them in the production environment.

Programming languages - Python, R, pyspark (data collection)
Tools and storages: Airflow (pipeline creation and support), Docker, Kubernetes, AWS S3/EMR/EC2, Google Storage, PostgreSQL, Apache Kafka, ElasticSearch, ClickHouse, Google Big Query, Zeppelin
- part-time project with hourly payment 10-15 hours/week or less
- NLP field