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Rafael Bianchi
Machine Learning Engineer - Reinforcement Learning & Computer Vision

About

Machine Learning Engineer with 18+ years of Python experience and deep expertise in Reinforcement Learning, computer vision, and production ML systems deployment. Currently pursuing PhD in Multi-Agent Reinforcement Learning at FEI with MSc in Artificial Intelligence from UPC. Proven track record developing and deploying ML models across aerospace, financial services, and e-commerce with strong focus on robotic perception, intelligent automation, and scalable ML infrastructure. Experienced with PyTorch, TensorFlow, and cloud-based ML deployment on AWS. Eager to apply RL and ML expertise to advance physical AI for general-purpose robotics.

Work Experience

GE Aerospace
Cincinnati, OH (Remote)
September 2024 – Present
Senior Staff AI Engineer
Lead development of advanced ML systems for mission-critical aerospace applications.
Highlights
  • Developed advanced computer vision pipelines for aerospace applications, deploying ML models for real-time document understanding and robotic perception systems
  • Built production ML infrastructure using PyTorch and cloud-based deployment (AWS), implementing scalable pipelines for training and inference
  • Utilized PaddleOCR vision models to extract structured data from technical drawings, integrating multimodal approaches combining visual and textual information
  • Collaborated with cross-functional engineering teams to design and optimize ML algorithms for autonomous system applications
  • Mentored junior engineers on ML best practices, model deployment strategies, and production system architecture
John Deere Financial
Brazil
July 2023 – August 2024
Senior Data Scientist
Architected and deployed ML solutions for financial analytics and predictive modeling.
Highlights
  • Architected Next-Gen Market Insight Platform using ML/AI to enable predictive analytics and data-driven decision making
  • Designed and deployed ML models using Python, scikit-learn, and AWS services for scalable financial analytics applications
  • Built robust data processing pipelines integrating real-time data for production ML systems
  • Served as technical lead collaborating with product and engineering teams to identify high-impact ML solutions
  • Implemented responsible AI practices including model evaluation, fairness testing, and deployment optimization
Lambda3
São Paulo, Brazil
August 2022 – June 2023
Data Scientist
Designed and implemented computer vision systems for industrial automation and compliance monitoring.
Highlights
  • Designed and implemented computer vision algorithms for automated compliance monitoring with real-time video processing
  • Developed intelligent automation system demonstrating autonomous behavior for safety applications in industrial environments
  • Built ML pipelines for business intelligence solutions using Python and modern ML frameworks
  • Optimized model performance for real-time inference in production environments
Shopee
Southeast Asia (Remote)
October 2020 – January 2021
Data Scientist
Developed ML models for e-commerce optimization and marketplace intelligence.
Highlights
  • Developed machine learning models for SKU matching and pricing optimization in high-volume e-commerce marketplace
  • Implemented intelligent automation solutions (RPA) to optimize operational workflows and system efficiency
  • Deployed production ML models at scale serving millions of users
Norte Asset Management
São Paulo, Brazil
January 2021 – March 2022
Partner | Data Scientist
Led data science team and built ML-powered analytics platform for investment decision-making.
Highlights
  • Led data science team of 5+ engineers building ML-powered analytics platform for financial decision-making
  • Established data infrastructure integrating multi-source data feeds for intelligent system development
  • Developed automated insight generation system demonstrating early intelligent agent design principles
  • Architected real-time data products leveraging ML for actionable intelligence delivery
Credit Suisse
Brazil
July 2011 – July 2018
Senior Systems Analyst
Developed and maintained critical financial systems in regulated banking environment.
Highlights
  • Developed and maintained critical financial systems for 7 years in regulated banking environment
  • Led solution delivery using modern software engineering practices for production systems
  • Collaborated with cross-functional teams to implement scalable software solutions using C#, .NET, and SQL
  • Ensured system reliability, security, and compliance with financial industry regulations

Projects

  • PhD Research - Multi-Agent Reinforcement Learning: Conducting advanced research in Reinforcement Learning with focus on agent coordination, learned policies, and intelligent behavior. Designing and implementing simulation environments for training RL agents. Exploring policy gradient methods, reward shaping, and curriculum learning techniques. Investigating applications of RL to autonomous systems and intelligent robotics.

Contact

São Paulo, São Paulo BR
+55 11 95822-6351
rafael@bianchi.codes
https://www.linkedin.com/in/rafaelbianchi
LinkedIn
rafaelbianchi
GitHub
rafael-bianchi

Education

  • 2024 Present

    FEI - Fundação Educacional Inaciana

    PhD

    Electrical Engineering - Artificial Intelligence

    Courses
    • Reinforcement Learning
    • Multi-Agent Systems
    • Deep Learning
    • Autonomous Agents
  • 2021 2022

    Universitat Politècnica de Catalunya (UPC)

    MSc

    Artificial Intelligence

Skills

Machine Learning Expert
Supervised Learning Unsupervised Learning Deep Learning Reinforcement Learning Computer Vision Natural Language Processing Model Optimization Production ML
Programming Languages Expert
Python C# JavaScript SQL
ML Frameworks & Libraries Expert
PyTorch TensorFlow scikit-learn NumPy pandas PaddleOCR LangChain LlamaIndex
Cloud & Infrastructure Advanced
AWS SageMaker Lambda S3 EC2 ECS Docker MLOps
Reinforcement Learning Advanced
Policy Gradient Methods Q-Learning Multi-Agent RL Reward Shaping Curriculum Learning GAE PPO DQN
Computer Vision Advanced
Object Detection Image Processing Document Understanding Visual Perception Real-time Inference Video Processing
Software Engineering Advanced
Object-Oriented Programming Design Patterns Clean Code Testing CI/CD Pipelines Git/GitHub Microservices API Design
Data Engineering Advanced
Data Pipelines ETL/ELT Real-time Processing Data Warehousing Distributed Systems