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Fernando Paz

Fernando Paz

Postdoctoral Researcher - Sustainable Biomass Valorization

USA flagFayetteville, Usa
$25.00/hrIntermediateOther

Key Skills

Software

Other

Top Subject Matter

No subject matter listed

Top Data Types

TextText

Top Task Types

Classification
Text Generation
Translation Localization
RLHF
Evaluation Rating

Freelancer Overview

I have a strong background in scientific research and data analysis, with extensive experience managing complex experimental datasets in both laboratory and pilot-scale environments. My work in biomass fractionation and enzymatic hydrolysis has required meticulous data collection, annotation, and interpretation to ensure the accuracy and reproducibility of results. I am skilled at organizing large volumes of data, identifying patterns, and maintaining high standards of data integrity. My international collaborations have enhanced my ability to communicate findings clearly and work effectively within interdisciplinary teams. I am eager to apply my analytical skills and attention to detail to data labeling and AI training data projects, contributing to robust and reliable machine learning solutions.

IntermediateEnglishItalianSpanishPortuguese

Labeling Experience

Evaluator of LLM

OtherTextClassificationText Generation
I currently work on an RLHF project where I create prompts and assess the responses that the model generates. The prompts should be natural, without contrived constraints, and belong to specific fields according to client requirements, such as health, science, fitness, education, travel, engineering, and math. Responses are evaluated according to several categories, such as localization, instruction following, truthfulness, verbosity, and writing quality. Also, I work on a second project where I compare model responses, evaluate them, and improve them. In the past I have worked on recognizing images and classifying them into different categories

I currently work on an RLHF project where I create prompts and assess the responses that the model generates. The prompts should be natural, without contrived constraints, and belong to specific fields according to client requirements, such as health, science, fitness, education, travel, engineering, and math. Responses are evaluated according to several categories, such as localization, instruction following, truthfulness, verbosity, and writing quality. Also, I work on a second project where I compare model responses, evaluate them, and improve them. In the past I have worked on recognizing images and classifying them into different categories

2024

Education

F

Federal University of Sao Carlos (UFSCar)

Certificate in Production Management Specialization, Production Management

Certificate in Production Management Specialization
2019 - 2021
S

Sao Carlos State University

Specialist in Production Management, Management

Specialist in Production Management
2019 - 2021

Work History

S

Sao Paulo State University

Postdoctoral Researcher

Rio Claro
2024 - Present
U

University of Arkansas

Researcher

Fayetteville
2024 - 2024