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Zayn Huynh

Zayn Huynh

Mathematics AI Architect for LLMS AI Companies

USA flagArlington, Usa
$20.00/hrExpertData Annotation TechGoogle Cloud Vertex AIMindrift

Key Skills

Software

Data Annotation TechData Annotation Tech
Google Cloud Vertex AIGoogle Cloud Vertex AI
MindriftMindrift
Other

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code ProgrammingComputer Code Programming
Medical DicomMedical Dicom
TextText

Top Task Types

Classification
Computer Programming Coding
Data Collection
Question Answering
Text Generation

Freelancer Overview

As a Mathematics AI Architect at Outlier AI, I specialized in data labeling and training AI models by annotating complex mathematical datasets and refining outputs to boost accuracy by 71%. My work involved identifying inconsistencies, applying structured labeling techniques, and ensuring data quality to optimize model learning. With strong skills in Python, algorithm design, and AI integration, I bring both technical expertise and a keen eye for detail that ensure high-quality training data and continuous model improvement.

ExpertKoreanEnglishSpanishVietnamese

Labeling Experience

Mathematics Outlier's Flamingo Project

OtherComputer Code ProgrammingData Collection
At Outlier AI, I led a project focused on enhancing the performance of a Math AI Solver designed to interpret, solve, and explain a wide range of mathematical problems. My role involved refining the AI's logic, training it with diverse and accurately labeled datasets, and improving its ability to handle symbolic expressions, algebra, and word problems. Through systematic debugging, annotation, and optimization of model outputs, I increased the solver’s accuracy by 71%. This project not only sharpened the AI's precision but also made it more accessible for students and educators, supporting faster, more accurate learning through technology.

At Outlier AI, I led a project focused on enhancing the performance of a Math AI Solver designed to interpret, solve, and explain a wide range of mathematical problems. My role involved refining the AI's logic, training it with diverse and accurately labeled datasets, and improving its ability to handle symbolic expressions, algebra, and word problems. Through systematic debugging, annotation, and optimization of model outputs, I increased the solver’s accuracy by 71%. This project not only sharpened the AI's precision but also made it more accessible for students and educators, supporting faster, more accurate learning through technology.

2024

Education

T

The University of Texas at Arlington

Bachelor of Science, Computer Science

Bachelor of Science
2023

Work History

M

Mac Usa One

Software Engineer Technical Lead

Arlington
2025 - Present
O

Outlier AI

Mathematics AI Architect

Arlington
2024 - Present