Key Skills

Freelancer Overview

I am a data science graduate student with hands-on experience designing and deploying AI systems that rely on high-quality labeled data for computer vision, NLP, and retrieval-augmented generation (RAG) tasks. My work includes curating and augmenting datasets for real-time video analysis in medical device assembly, engineering synthetic datasets to boost model robustness for object tracking, and generating LLM-distilled question-answer pairs to improve document retrieval systems. I am skilled in Python, SQL, PyTorch, TensorFlow, and data annotation tools, with a strong background in developing and evaluating data pipelines for both structured and unstructured data. My experience spans building scalable annotation workflows, benchmarking state-of-the-art models, and ensuring data quality to optimize model performance across diverse domains.

Labeling Experience

Education

Work History