Обо мне
data:
data management (MongoDB, ClickHouse, PostgreSQL)
data processing manipulations (EDA with Plotly Dash, Streamlit)
model:
model engineering: hyperparameters tuning (Optuna, Ray Tune)
prepare model for production (tracing, quantization, ONNX, TorchServe)
ML pipeline:
training/validation
evaluation logging
experiments tracking (Neptune.ai/MLflow)
serving:
deployment tools (Docker, FastAPI)
memory management and optimization
testing in MLOps scenarios (PyTest, Profilers)
Практика
Рекомендация по уровню подготовки