Key Skills

Software

Data Annotation Tech

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Text

Top Task Types

Computer Programming Coding

Data Collection

Object Detection

Prompt Response Writing SFT

Text Generation

Freelancer Overview

With over a decade of experience in software engineering and artificial intelligence, I specialize in developing and integrating scalable AI/ML solutions across computer vision and natural language processing domains. I have led the design and deployment of high-quality data labeling pipelines, supporting large-scale annotation efforts for supervised learning tasks such as object detection, sentiment analysis, named entity recognition, and text generation. My experience spans both image and text-based datasets, leveraging tools like Labelbox, Prodigy, and custom in-house platforms to optimize labeling efficiency and accuracy. I’ve collaborated cross-functionally with data scientists and product teams to define labeling guidelines, automate data preprocessing, and implement model evaluation strategies. My technical toolkit includes Python, TensorFlow, Hugging Face Transformers, and AWS SageMaker, enabling rapid iteration and deployment of AI models. By integrating labeled datasets into production pipelines, I’ve contributed to the successful deployment of recommendation engines, chatbots, and computer vision-driven ad platforms. This hands-on experience with both labeling workflows and model development sets me apart as an end-to-end AI system contributor.

Labeling Experience

Education

Work History