🚀 MLOps Engineer | Automating ML Workflows | Building Scalable Systems
Welcome to my GitHub! I'm passionate about using machine learning models into scalable, production-ready systems that help improve human productivity. My work focuses on:
- End-to-End MLOps Solutions: From model training to deployment and monitoring.
- Cloud & Automation: Leveraging AWS, and GitHub Actions to streamline workflows.
- Model Lifecycle Management: Continuous monitoring.
- Data Pipelines: Cleaning, preprocessing, and feature engineering with Pandas, NumPy, and more.
- Scalable Infrastructure: Deploying models using Docker, Kubernetes, and serverless tech.
- ML/DL: PyTorch, TensorFlow, Scikit-learn
- Data: Pandas, NumPy, Matplotlib
- MLOps: Docker, MLflow. FastAPI, Flask
- Cloud: AWS
- Automation: GitHub Actions, CI/CD
💡 Always exploring ways to improve ML deployment, observability, and cost optimization!
- LangChain | Generative AI | Advanced CI/CD Techniques
Feel free to connect or collaborate on exciting MLOps projects!