I’m passionate about building scalable machine learning solutions that help drive impactful business decisions. My current tech stack includes a variety of tools, libraries, and platforms that I use to streamline model development, deployment, and monitoring.
- MLflow for tracking ML experiments
- PyTorch for building deep learning models
- Python for all things data science and machine learning
- ETL Pipelines for smooth data processing
- AWS for cloud deployments and infrastructure
- Machine Learning Models such as linear regression, classification, and recommendation systems
- FastAPI for developing high-performance APIs
- ArgoCD for continuous deployment
- Helm Charts for Kubernetes packaging
- GitHub Actions for CI/CD automation
Feel free to reach out for collaboration or just to connect!