Isabela Bulgaru Merla

Key Skills

Software

Roboflow

Label Studio

Top Subject Matter

Offshore Wind Turbine Generator Fault Detection

Sentiment and Topic Analysis of AI Discussions on Twitter

Top Data Types

Image

Text

Top Task Types

Object Detection

Fine Tuning

Bounding Box

Segmentation

Polygon

Classification

Freelancer Overview

Data Labeling Intern, Vision AI Pipeline (ISATI Engineering Solutions). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Roboflow and Label-Studio. Education includes Bachelor of Business Analytics, Universidad Autónoma de Madrid (2022) and High School Diploma, IES Manuel de Falla (2022). AI-training focus includes data types such as Image and Text and labeling workflows including Object Detection and Fine-tuning.

Labeling Experience

Data Labeling Intern, Vision AI Pipeline (ISATI Engineering Solutions)

RoboflowImageObject Detection

I labeled and augmented image data related to loosening bolts on offshore wind turbine generators. My responsibilities included using Roboflow to annotate images applying object detection techniques, managing labeling quality, and assisting with the overall data pipeline. The experience involved preparing robust labeled datasets for training vision models and ensuring dataset accuracy throughout model development. • Utilized Roboflow for image annotation and data augmentation. • Labeled and verified data for offshore wind turbine generator fault detection. • Assisted in the object detection pipeline using YOLOv8 and Keras. • Ensured dataset integrity through routine quality checks.

I labeled and augmented image data related to loosening bolts on offshore wind turbine generators. My responsibilities included using Roboflow to annotate images applying object detection techniques, managing labeling quality, and assisting with the overall data pipeline. The experience involved preparing robust labeled datasets for training vision models and ensuring dataset accuracy throughout model development. • Utilized Roboflow for image annotation and data augmentation. • Labeled and verified data for offshore wind turbine generator fault detection. • Assisted in the object detection pipeline using YOLOv8 and Keras. • Ensured dataset integrity through routine quality checks.

2026 - Present

NLP Data Labeling & Fine-tuning Researcher (Undergraduate Thesis)

OtherTextFine Tuning

I performed text classification and topic modeling on Spanish tweets discussing artificial intelligence. My tasks included preparing datasets, fine-tuning transformer models (BERT Multilingual, RoBERTuito), and labeling sentiment and topics through supervised learning techniques. The work enabled the construction of sentiment analysis and topic trend models for social media monitoring. • Applied Python for data scraping, preprocessing, and dataset annotation. • Fine-tuned NLP transformer models for Spanish-language text classification. • Used LDA and BERTopic for topic modeling and data labeling. • Focused on AI-related discussions from the Spanish-speaking Twitter community.

I performed text classification and topic modeling on Spanish tweets discussing artificial intelligence. My tasks included preparing datasets, fine-tuning transformer models (BERT Multilingual, RoBERTuito), and labeling sentiment and topics through supervised learning techniques. The work enabled the construction of sentiment analysis and topic trend models for social media monitoring. • Applied Python for data scraping, preprocessing, and dataset annotation. • Fine-tuned NLP transformer models for Spanish-language text classification. • Used LDA and BERTopic for topic modeling and data labeling. • Focused on AI-related discussions from the Spanish-speaking Twitter community.

2022 - 2025

Education

Work History