Key Skills

Software

Dataloop

Encord

Labelbox

Scale AI

SuperAnnotate

Top Subject Matter

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Top Data Types

Image

Text

Video

Top Task Types

Mapping

Object Detection

Point Key Point

Segmentation

Text Summarization

Freelancer Overview

With over 7 years of hands-on experience in AI/ML product development, I have extensive expertise in overseeing the creation, quality assurance, and optimization of training datasets for large-scale machine learning systems. Throughout my tenure at Upland Software and Canaccede Financial Group, I've managed the end-to-end lifecycle of training data for enterprise AI products serving 600K+ users, including labeled datasets for natural language understanding, semantic search, and financial transaction classification. I've collaborated directly with data science teams and annotation specialists to establish rigorous labeling guidelines, implement quality control frameworks that improved model accuracy by 23%, and design evaluation protocols that ensure training data integrity. My technical proficiency spans supervised learning datasets, LLM fine-tuning data preparation, and feature engineering across cloud platforms (Azure, AWS, GCP), combined with deep expertise in tools like Python, SQL, and data analytics platforms (Tableau, Amplitude, Mixpanel). What distinguishes my approach is the strategic intersection of product thinking and data science. I don't just manage labeling workflows, I architect them to drive measurable business outcomes.

Labeling Experience

Education

Work History