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Luca Del Signore

Luca Del Signore

Software Engineer focused on annotation workflow design for Meta/GenAI

USA flagRemote, Usa
$30.00/hrIntermediateInternal Proprietary Tooling

Key Skills

Software

Internal/Proprietary Tooling

Top Subject Matter

LLM data annotation and DataOps workflows
Romance Languages

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

ClassificationClassification
Question AnsweringQuestion Answering
Text GenerationText Generation

Freelancer Overview

Software Engineer focused on annotation workflow design for Meta/GenAI. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Master of Arts, City University of New York at the Graduate Center (2023) and Bachelor of Science, Fordham University (2017). AI-training focus includes data types such as Text and labeling workflows including Classification.

IntermediateEnglishItalian

Labeling Experience

Software Engineer focused on annotation workflow design for Meta/GenAI

TextClassification
Designed workflows to streamline annotation tasks for Meta/GenAI initiatives. Responsible for optimizing full-stack pipelines supporting data annotation projects for large language model research. Contributed technical expertise to enhance the efficiency and scalability of annotation data operations. • Led integrations between annotation tooling and multimodal chatbot systems. • Improved guidelines and instructions for annotators working with LLM training data. • Coordinated feedback collection cycles for annotation task quality assurance. • Ensured annotation workflow compliance with Meta's data standards.

Designed workflows to streamline annotation tasks for Meta/GenAI initiatives. Responsible for optimizing full-stack pipelines supporting data annotation projects for large language model research. Contributed technical expertise to enhance the efficiency and scalability of annotation data operations. • Led integrations between annotation tooling and multimodal chatbot systems. • Improved guidelines and instructions for annotators working with LLM training data. • Coordinated feedback collection cycles for annotation task quality assurance. • Ensured annotation workflow compliance with Meta's data standards.

2024 - 2024

Education

C

City University of New York at the Graduate Center

Master of Arts, Computational Linguistics

Master of Arts
2021 - 2023
F

Fordham University

Bachelor of Science, Mathematics and Computer Science

Bachelor of Science
2013 - 2017

Work History

T

TEKSystems

Software Engineer

Remote
2024 - 2024
S

Self Employed

Freelance Developer

New York
2018 - 2020