Student in Australia focused on Python, data, APIs, and beginner open-source contribution.
- Building Python projects around machine learning, data pipelines, and APIs
- Improving project quality through clearer documentation and reproducible workflows
- Contributing to open-source projects as I prepare for GSoC 2026
- Languages: Python, SQL, R, C#
- Tools: FastAPI, Pandas, NumPy, scikit-learn, Docker, Git, PostgreSQL, MongoDB
- Interests: backend APIs, applied ML, data engineering, open-source collaboration
| Project | What it does | Stack |
|---|---|---|
| sentiment-api | FastAPI service for transformer-based sentiment classification with Docker support | Python, FastAPI, Transformers, PyTorch |
| neo-hazard-model | End-to-end NASA data pipeline for predicting potentially hazardous asteroids | Python, pandas, scikit-learn, NASA APIs |
| kaggle-churn-prediction | Two churn-prediction workflows: from-scratch ML baseline and boosted ensemble | Python, Jupyter, LightGBM, XGBoost, CatBoost |
Recent upstream work in IntelOwl:
- Issue #3513: reported a bug in multiline JSON cleaning
- PR #3514: proposed a fix for the reported form-cleaning bug
- PR #3500: proposed a frontend typo fix
- Email:
khanammar2400@gmail.com - Portfolio: personal-portfolio-ammarkhan.replit.app