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Adwin Sujin

Adwin Sujin

LLM data labeling & evaluation specialist with quantitative background

USA flagSan Jose, Usa
$16.00/hrIntermediateInternal Proprietary ToolingLabelbox

Key Skills

Software

Internal/Proprietary Tooling
LabelboxLabelbox

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code ProgrammingComputer Code Programming
DocumentDocument
TextText

Top Task Types

Classification
Computer Programming Coding
Data Collection
Evaluation Rating
Prompt Response Writing SFT

Freelancer Overview

’m an intermediate-level AI and data training contributor with a strong foundation in computer science, cognitive science, and real-world data work. At UC San Diego, I focus on programming, data structures, and introductory AI, and I’ve built projects that require careful handling of text and structured data. I’m comfortable working in Python and Java and using tools like BeautifulSoup, Scrapy, and Pandas to collect and transform high-quality datasets. Most recently, I worked as a Systems Developer for the Indiana Soybean Alliance, where I designed web scraping pipelines and backend services to ingest agricultural program information from USDA and NRCS sources, check it for accuracy, and present it in a farmer-friendly format. I also have several years of experience tutoring math and programming (Python and Java), which gives me lots of practice explaining, reviewing, and evaluating technical content—skills that transfer directly to text-based AI evaluation, prompt-response work, and code-focused data labeling.

IntermediateEnglishSpanishMalayalam

Labeling Experience

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Indiana Soybean Alliance – Agricultural Program Data Pipeline

LabelboxTextText Summarization
Built and maintained Python-based web scraping pipelines (BeautifulSoup, Scrapy) to collect, clean, and normalize large volumes of agricultural program text from USDA and NRCS sites. Verified parsed fields, removed noise, and organized records by state, program type, and eligibility to support downstream recommendation and search tools.

Built and maintained Python-based web scraping pipelines (BeautifulSoup, Scrapy) to collect, clean, and normalize large volumes of agricultural program text from USDA and NRCS sites. Verified parsed fields, removed noise, and organized records by state, program type, and eligibility to support downstream recommendation and search tools.

2024 - 2025

Education

U

University of California San Diego

Bachelor of Science, Cognitive Science

Bachelor of Science
2025 - 2027
P

Purdue University

Bachelor of Science, Computer Science

Bachelor of Science
2024 - 2025

Work History

B

Badminton

Player / Tutor

Milpitas
2014 - Present
I

Indiana Soybean Alliance

Full Stack Data Systems Developer

Indianapolis
2024 - 2025