Giacomo Apicella

Key Skills

Software

Appen

CVAT

Labelbox

Supervisely

Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

Document

Image

Text

Top Task Types

Bounding Box

Classification

Data Collection

Text Generation

Translation Localization

Freelancer Overview

I am a dedicated Data Labeling and AI Training specialist with 2+ years of hands-on experience. My expertise focuses on preparing high-quality datasets for both Natural Language Processing (NLP) and Computer Vision applications. My background includes generating and classifying text data for chatbot and LLM projects in English and Spanish, as well as proficiently performing bounding box annotations for computer vision models. I am also skilled in data collection, validation, and content moderation. My meticulous attention to detail and commitment to quality ensure that I consistently provide accurate and reliable data for AI development.

Labeling Experience

Bilingual Conversational Data Annotation for LLM Development

Internal Proprietary ToolingTextClassificationText Generation

Led the data annotation efforts for a project aimed at training a conversational AI for a major customer service platform. The primary objective was to generate realistic dialogue samples and classify user intent and sentiment in both English and Spanish. I also performed detailed transcriptions of customer service calls, identifying key entities and actions within the conversations. This project required a deep understanding of natural language nuances and strict adherence to a complex labeling taxonomy to ensure the model's accuracy and effectiveness in handling customer queries.

Led the data annotation efforts for a project aimed at training a conversational AI for a major customer service platform. The primary objective was to generate realistic dialogue samples and classify user intent and sentiment in both English and Spanish. I also performed detailed transcriptions of customer service calls, identifying key entities and actions within the conversations. This project required a deep understanding of natural language nuances and strict adherence to a complex labeling taxonomy to ensure the model's accuracy and effectiveness in handling customer queries.

2024 - 2025

Computer Vision Dataset Curation for Autonomous Systems

CVATImageBounding BoxPolygon

Contributed to the development of a large-scale dataset for an autonomous systems project. My core responsibilities included the precise annotation of thousands of images and video frames, using bounding boxes and polygon segmentation to identify objects such as cars, pedestrians, and infrastructure. I also performed keypoint annotations on human figures to improve pose estimation models. This project demanded a meticulous attention to detail and consistent application of labeling guidelines to achieve a high degree of accuracy, which was critical for training robust and safe detection models.

Contributed to the development of a large-scale dataset for an autonomous systems project. My core responsibilities included the precise annotation of thousands of images and video frames, using bounding boxes and polygon segmentation to identify objects such as cars, pedestrians, and infrastructure. I also performed keypoint annotations on human figures to improve pose estimation models. This project demanded a meticulous attention to detail and consistent application of labeling guidelines to achieve a high degree of accuracy, which was critical for training robust and safe detection models.

2024 - 2024

Education

Work History