Gabriel Francisco

Data Scientist

https://talent.gravityer.com/gabriel-francisco

AI Staff Engineer

Remessa Online

Key Strengths

Demonstrated interest and practical experience in Data Science and Machine Learning through various personal projects.
Experience with LLMs, RAG, and fine-tuning pipelines, indicating familiarity with advanced AI concepts.
Proficiency in Python and Jupyter Notebook, essential tools for Data Scientists.
Exposure to MLOps concepts like Dockerfile for deployment and reproducibility.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards personal learning and exploration in AI/ML, which aligns with a proactive and curious culture. However, the projects are predominantly personal, and there is only one current professional experience listed as 'Data Scientist' with a future start date, making it difficult to fully assess cultural fit based on collaborative or team-oriented work. The diversity of projects (forex, medical, text embedding) indicates adaptability and broad interests.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

medical-support-chatbot

May 24, 2026 – Present

LangGraph chatbot with ChromaDB, RAG in SQLite, evals, guardrails, OSS LLMs and FineTune pipeline

View Project

gf-text-embedding-001

January 27, 2026 – Present

Text to Vector based on Word2Vec - CBOW and SkipGram

View Project

fiap-iadt-tech-chalenge

January 18, 2026 – Present

Solução com foco em IA para processamento de exames médicos e documentos clínicos, com fundamento de IA, Machine Learning e Visão Computacional.

View Project

forex-advisor

January 15, 2026 – Present

Solução baseada em pipeline de dados de forex, scraping de noticias, classificação com ML clássico e LLM (agente de IA) para recomendações

View Project

breast-cancer-diagnostic

November 19, 2025 – Present

A ML system that provides breast cancer possible diagnostic, training on public datasets

View Project

tech-challenge-book-api

September 9, 2025 – October 21, 2025

Projeto desenvolvido para o Tech Challenge de criação de uma API pública para consulta de livros, com dados obtidos via web scraping

View Project

devops_fiap

April 20, 2025 – April 20, 2025

devops_fiap

View Project

ticket-deer

April 2, 2025 – April 2, 2025

Ticketing System

View Project

delivery_app

January 12, 2024 – January 12, 2024

SwiftUI Food Delivery App

View Project

SuperQuiz

December 27, 2023 – January 2, 2024

Quis game app - for odontology

View Project

Key Strengths

Demonstrated interest and practical experience in Data Science and Machine Learning through various personal projects.
Experience with LLMs, RAG, and fine-tuning pipelines, indicating familiarity with advanced AI concepts.
Proficiency in Python and Jupyter Notebook, essential tools for Data Scientists.
Exposure to MLOps concepts like Dockerfile for deployment and reproducibility.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

Gabriel Francisco

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit