ML Engineer focused on building end-to-end machine learning systems — from data pipelines to deployed APIs.
Based in Kathmandu, Nepal.
- MLOps — automated pipelines, experiment tracking, model serving
- Machine Learning — classification, prediction, feature engineering
- APIs & deployment — FastAPI, Docker, cloud hosting
Online Shopper Prediction API
End-to-end MLOps pipeline: Airflow → MLflow → FastAPI → Docker → Render.
Predicts whether a website visitor will make a purchase based on browsing behavior.
Live API docs →
Nepal ID Verifier
Bilingual OCR and identity verification system for Nepali Citizenship IDs.
Python · scikit-learn · FastAPI · Apache Airflow · MLflow · Docker · Pandas