Key Skills

Software

Other

Google Cloud Vertex AI

Top Subject Matter

Computer Programming/Coding

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Text

Image

Document

Top Task Types

Prompt + Response Writing (SFT)

Segmentation

Classification

RLHF

Text Summarization

Transcription

Evaluation/Rating

Data Collection

Fine-tuning

Text Generation

Freelancer Overview

I have direct experience building and evaluating AI training pipelines across research and production environments. At USC-ISI, I developed GenAI workflows with NVIDIA Nemotron, applied gradient boosting models for classification tasks, and built observability systems to monitor deployed AI behavior. My published ICCCI research involved curating imbalanced medical imaging datasets using GANs to generate synthetic training samples, achieving an AUROC of 0.91. I currently contribute to AI training projects on Outlier and DataAnnotation, evaluating LLM-generated code and responses for correctness and quality. My technical stack spans PyTorch, TensorFlow, LangChain, RAG pipelines, and prompt engineering — giving me the depth to assess AI outputs beyond surface-level review. A Master's in Computer Science from Cal State Sacramento and 5+ years of production ML engineering experience round out my qualifications.

Labeling Experience

Education

Work History