Key Skills

Software

AWS SageMaker

Appen

Axiom AI

CrowdSource

Data Annotation Tech

Google Cloud Vertex AI

Mercor

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Document

Geospatial Tiled Imagery

Image

Text

Video

Top Label Types

Action Recognition

Audio Recording

Classification

Computer Programming Coding

Data Collection

Prompt Response Writing SFT

Segmentation

Text Generation

Text Summarization

Transcription

Translation Localization

Freelancer Overview

With over 14 years of experience in AI and data engineering, I specialize in building and optimizing large-scale data pipelines and developing advanced generative AI models across domains like computer vision, NLP, and multimodal systems. My background includes designing and leading teams to implement data labeling workflows, synthetic data generation with GANs, and annotation strategies that boost dataset diversity and model accuracy. I have hands-on expertise with tools such as PyTorch, TensorFlow, Hugging Face Transformers, and cloud platforms like GCP and Azure. My work has supported enterprise AI solutions, including retrieval-augmented generation, prompt engineering, and ethical AI practices, ensuring high-quality, unbiased training data for production-grade models. I am passionate about driving innovation in AI by ensuring robust, well-annotated datasets and scalable data processing solutions.

Labeling Experience

Education

Work History