🎓 CS Engineering Student
🤖 AI | MLOps Engineer
🐍 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
- Languages: Python, SQL (PostgreSQL), C/C++
- Machine Learning & Data: Pandas, NumPy, Matplotlib, Scikit-learn, EDA, Feature Engineering, Model Evaluation
- Frameworks & Backend: Flask, FastAPI, Streamlit, MLflow, PyTorch
- Tools & Platforms: Git & GitHub, Docker, Linux, VS Code, HuggingFace, FFmpeg
- Concepts: REST APIs, MLOps fundamentals, Data Structures, System Design basics
