Key Skills

Software

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Task Types

Computer Programming Coding

Data Collection

Fine Tuning

Prompt Response Writing SFT

Freelancer Overview

As a Master’s student in Intelligent Processing Systems, I have hands-on experience in AI data labeling, training, and orchestration through multiple applied projects. In my work on EcoSentinel AI, I integrated satellite imagery, citizen reports, and open environmental APIs to detect waste accumulation and water pollution. This required preparing, labeling, and curating diverse datasets (satellite images, text reports, social feedback) for use with Hugging Face vision models and OpenAI GPT. I designed custom classifiers for pollution incident detection, applied NER and sentiment analysis on citizen submissions, and built workflows to automatically generate labeled summaries and alerts. In addition to my academic projects, I also collaborated with Outlier, where I contributed to large-scale AI data labeling and evaluation tasks. This strengthened my ability to ensure dataset quality, refine annotation guidelines, and maintain consistency across multimodal labeling workflows. My skill set bridges data preparation, annotation, and applied ML workflows, with a focus on real-world environmental monitoring. I have developed hybrid intelligence pipelines that merge AI-labeled data with human reports, implemented text summarization, image classification, and risk scoring, and deployed dashboards for stakeholders. This combination of data-centric AI, automation (n8n, Flask), and MLOps-ready pipelines positions me strongly for AI training data projects, especially those requiring rel

Labeling Experience

Education

Work History