Key Skills

Freelancer Overview

I am a detail-oriented software engineer and data scientist with over four years of hands-on experience designing and deploying scalable AI and data-driven solutions. My background includes building robust machine learning pipelines for tasks such as customer churn prediction, real-time recommendation engines, and anomaly detection, where I have managed large-scale data annotation and labeling processes to ensure high model accuracy. I am proficient in Python, TensorFlow, PyTorch, Scikit-learn, and XGBoost, with extensive experience in NLP, statistical analysis, and feature engineering. My work has spanned domains like e-commerce, financial analytics, and content recommendation, and I have contributed to open-source projects improving model serving and data preprocessing. I am passionate about data quality, model optimization, and leveraging best practices in labeling, validation, and data pipeline automation to deliver reliable AI training data for production systems.

Labeling Experience

Education

Work History