π CS Engineering Student
π€ AI | MLOps Enthusiast
π Python
- Strong interest in Machine Learning systems and MLOps
- Focused on making ML models reproducible, deployable, and reliable
- Experience experimenting with ML workflows and automation
- Actively contributing to open source ML tools and projects
- Currently shifting from theory-heavy learning to hands-on ML system building
- ML pipelines & experiment tracking
- Model versioning & deployment
- Data validation & monitoring
- ML automation & infrastructure
- Python
- NumPy, Pandas, scikit-learn
- (Actively learning) MLflow, DVC, Docker


