Key Skills

Freelancer Overview

I am a Machine Learning and AI Engineer with hands-on experience building and deploying robust ML pipelines, with a strong focus on data quality, annotation, and evaluation for both NLP and computer vision projects. My work spans data preprocessing, feature engineering, and developing automated evaluation frameworks to ensure high-quality training data and reliable model outputs. I have implemented end-to-end ML workflows—from data ingestion and labeling to model retraining and monitoring—using tools like PyTorch, TensorFlow, MLflow, and Evidently. My experience includes integrating guardrails for data integrity, building drift detection systems, and automating regression testing to support scalable, production-ready AI solutions. I am passionate about developing reliable AI systems by prioritizing accurate data labeling, governance, and continuous improvement throughout the ML lifecycle.

Labeling Experience

Education

Work History