Leonid Ganeline

With seven years of experience in ML and Data Science, I specialize in NLP (Natural Language Processing) and anomaly detection. My expertise ranges from research to production, from hiring to project management.

• Machine Learning packages: transformers, spaCy, scikit-learn, xgboost,  gensim, flair, LightGBM, catboost.
• Languages: Python, C#, C.
• Neural Networks: Convolutional, Recurrent, Dense, Autoencoders, LSTM, ELMO, fastText, transformers.
• Machine Learning areas: NLP, image recognition, anomaly detection.
• Data Preparation: SQL, BigQuery, scikit-learn, pandas, numpy, feature-engine, Faiss.
• Development Tools: Jupyter Lab, Azure ML Studio, PyCharm, RStudio.
• Cloud ML: AWS SageMaker, GCP Vertex AI, Azure MLOps, Azure OpenAI.
• DevOps, CI/CD, Production: Docker, Kubernetes, Git, GitHub, FastAPI, Azure DevOps, poetry.
• Integration: BizTalk Server, LogicApps, Azure EventHub, Azure ServiceBus, MSMQ, RabbitMQ, SOAP, REST.

• “Natural Language Processing with Deep Learning, CS224n“ course, Stanford University by C. Manning and R. Socher.
• “Neural Networks for Machine Learning” course, the University of Toronto by Geoffrey Hinton.
• “Data Manipulation at Scale: Systems and Algorithms” course, the University of Washington by Bill Howe.
• Bachelor’s and Master's Degrees in Electronic Engineering