A.s. School Project

Key Skills

Software

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Classification

Freelancer Overview

I am a software engineer with hands-on experience in AI training data, large language model (LLM) development, and data annotation for NLP and code generation tasks. At Outlier AI, I train LLMs using RLHF methodologies, meticulously evaluating hundreds of model-generated code samples and natural language outputs each week to provide detailed feedback on correctness, efficiency, and reasoning. I design multi-step coding challenges and technical problem descriptions, identify systematic model errors, and propose targeted improvements to training data, directly contributing to measurable gains in model performance. My technical toolkit includes Python, FastAPI, SQL, and NLP methods such as TF-IDF and sentiment analysis, and I am adept at data preprocessing, feature engineering, and collaborating with cross-functional, distributed teams to refine AI systems for real-world deployment.

Labeling Experience

LLM Code & Reasoning Evaluation Specialist

LabelboxTextClassification

Built a text classification pipeline labeling public text data as positive or negative sentiment using TF-IDF vectorization and LinearSVC. Handled data preprocessing, tokenization, stopword removal, and feature engineering. Evaluated model performance through cross-validation and hyperparameter tuning.

Built a text classification pipeline labeling public text data as positive or negative sentiment using TF-IDF vectorization and LinearSVC. Handled data preprocessing, tokenization, stopword removal, and feature engineering. Evaluated model performance through cross-validation and hyperparameter tuning.

2025 - 2025

Education

Work History