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Felipe Andrade

AI Code evaluator / Fine Tunner - Nexton

Brazil flagNatal, Brazil
$40.00/hrExpertLabelboxInternal Proprietary Tooling

Key Skills

Software

LabelboxLabelbox
Internal/Proprietary Tooling

Top Subject Matter

AI model evaluation
programming languages
prompt evaluation

Top Data Types

TextText
Computer Code ProgrammingComputer Code Programming

Top Task Types

Classification
RLHF
Fine Tuning
Transcription
Computer Programming Coding

Freelancer Overview

AI Code evaluator / Fine Tunner - Nexton. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, Universidade Federal do Rio Grande do Norte (2020). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

ExpertEnglish

Labeling Experience

AI Code evaluator / Fine Tunner - Nexton

Text
In this role, I evaluated the correctness of prompts, AI-generated responses, and code snippets across several programming languages. I assessed outputs involving artificial intelligence frameworks and verified the accuracy of explainable text produced by multiple AI models. My work required attention to detail and understanding of both natural language and computational logic. • Evaluated prompt and response quality for LLMs. • Assessed code snippets in languages such as C++, Python, and others. • Verified explanations provided by multiple model versions. • Used proprietary or internal tools for evaluation tasks.

In this role, I evaluated the correctness of prompts, AI-generated responses, and code snippets across several programming languages. I assessed outputs involving artificial intelligence frameworks and verified the accuracy of explainable text produced by multiple AI models. My work required attention to detail and understanding of both natural language and computational logic. • Evaluated prompt and response quality for LLMs. • Assessed code snippets in languages such as C++, Python, and others. • Verified explanations provided by multiple model versions. • Used proprietary or internal tools for evaluation tasks.

2023 - 2023

Education

U

Universidade Federal do Rio Grande do Norte

Bachelor of Science, Science

Bachelor of Science
2020

Work History

S

Stoom E-Commerce

Software Engineer / Tech Lead

Natal
2021 - 2022
F

Federal University of Rio Grande Do Norte

Software Engineering Intern

Natal
2020 - 2020