I'm a Machine Learning Engineer with experience in designing, deploying, and scaling ML systems on AWS and Azure. I have a strong theoretical background in machine/deep learning and the mathematics behind it, combined with hands-on expertise in building ML infrastructure, productionizing models, and enabling robust experimentation.
- Languages: Python.
- Frameworks: PyTorch, LightGBM, Scikit-Learn.
- Data Science: NumPy, Pandas, SQL, Matplotlib, Seaborn.
- MLOps & Deployment: AWS SageMaker, Azure ML, Docker, MLflow, Nvidia Triton, CI/CD, FastAPI, ONNX.
- Monitoring: prometheus, grafana.