Premium AI solutions for enterprises with NLP and Deep Learning

If you need to implement complex project using Machine Learning and Natural Language Processing with a guaranteed result and in the shortest time possible, you should consider I've implemented 30+ projects. Permanent practice, non-trivial tasks and own methodology guarantee the high quality of performance of the assigned tasks, which is subject to numerous positive reviews and high ratings.

Complex scalable production-ready data-rich applications built with Python 3.6 / 3.7 / 3.8 and:

Natural Language Processing with Transformers:

T5 Unified Text-to-Text Transformer and

RoBERTa, XLNet, BERT, GPT-2, Transformer-XL, BERT with TensorRT, Custom models

Biomedical NLP:
BioBERT, SciSpacy, BioELMO, NegBio

Machine Learning:
Numpy, Pandas, SciPy, PyTorch, TensorFlow / Keras, TensorFlow Serving

Question-Answering:
SQUAD, HotpotQA, MovieQA, Biomedical question answering

Natural language processing with:
CoreNLP, Spacy, GATE, RelEx, UIMA, Gensim, TextBlob, Prodigy etc.

Embeddings:
ELMO, Universal Sentence Encoder, BERT, Flair

Cloud services:
AWS, Google Cloud, IBM Cloud, Digital Ocean, Heroku, other

Databases:
SQL: PostgreSQL, MySQL, Sqlite
NOSQL: Mongo, Neo4J, Redis

Queues / Message-brokers:
RabbitMQ, Celery

Search engines:
ElasticSearch, Sphinx, Solr, Lucene, Whoosh

Ontologies:
OpenCyc, ConceptNet, Yago | n3, OWL | Jena, Protege

Web-frameworks for APIs: Flask, Django-REST, Swagger

Virtualization / Containers:
Kubernetes, Docker, KVM, XEN, other

Software architecture design:
MindMapping, Data modeling, UML, IEEE 1471

Software development process:
Scrum, TDD, Continuous Integration