For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
F

Fi Soares

Facial Recognition & Anti-Fraud ML Model Training (B2ML Sistemas)

BRAZIL flag
Jacareí, São Paulo, Brazil
$15.00/hrIntermediateInternal Proprietary Tooling

Key Skills

Software

Internal/Proprietary Tooling

Top Subject Matter

Computer Vision (Facial Recognition, Anti-fraud ML Systems)
Legal Services & Contract Review
Regulatory Compliance & Risk Analysis

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

Classification

Freelancer Overview

Facial Recognition & Anti-Fraud ML Model Training (B2ML Sistemas). Brings 12+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OpenCV. Education includes Bachelor of Science, UNESP - São Paulo State University "Júlio de Mesquita Filho" (2024) and Licentiate in Physics, Federal University of Itajubá (2020). AI-training focus includes data types such as Image and labeling workflows including Classification.

IntermediatePortugueseEnglish

Labeling Experience

Data Labeler - PR Writer

Computer Code ProgrammingEvaluation Rating
Review AI PRs using typescript and python.

Review AI PRs using typescript and python.

2025 - Present

Facial Recognition & Anti-Fraud ML Model Training (B2ML Sistemas)

ImageClassification
Worked on the creation and training of machine learning models for facial recognition and anti-fraud systems. Labeled and curated datasets primarily involving images for model training and validation. Utilized TensorFlow, Keras, PyTorch, and OpenCV in the development cycle. • Assisted in preparing and annotating face and fraud-related image datasets • Focused on ensuring high label quality for supervised learning • Collaborated with a team of engineers on dataset management • Supported continuous improvement of computer vision models

Worked on the creation and training of machine learning models for facial recognition and anti-fraud systems. Labeled and curated datasets primarily involving images for model training and validation. Utilized TensorFlow, Keras, PyTorch, and OpenCV in the development cycle. • Assisted in preparing and annotating face and fraud-related image datasets • Focused on ensuring high label quality for supervised learning • Collaborated with a team of engineers on dataset management • Supported continuous improvement of computer vision models

2019 - 2024

Education

U

UNESP - São Paulo State University "Júlio de Mesquita Filho"

Bachelor of Science, Physics

Bachelor of Science
2024 - 2024
F

Federal University of Itajubá

Licentiate in Physics, Physics

Licentiate in Physics
2018 - 2020

Work History

M

MagaluPay

Backend Developer

Jacareí, São Paulo
2024 - Present
B

B2ML Sistemas

Software Engineer

Itajubá
2019 - 2024