Rafael Bianchi
Engineering Manager | AI/ML Systems & Team Building
About
Engineering leader with 18+ years of software experience and deep expertise in AI/ML systems, from research to production. Currently pursuing PhD in Multi-Agent Reinforcement Learning at FEI with MSc in AI from UPC. Track record of leading engineering teams and shipping ML-powered products across aerospace, financial services, and e-commerce. Experienced building and mentoring high-performance teams in remote-first, cross-functional environments. Strong technical foundation in PyTorch, LLM integration, and cloud-native infrastructure on AWS.
Work Experience
GE Aerospace
Cincinnati, OH (Remote)
September 2024 – Present
Senior Staff AI Engineer
Lead AI/ML initiatives for mission-critical aerospace applications, driving technical direction and team execution.
Highlights
- Lead technical direction for AI engineering team, defining architecture and roadmap for ML systems in production aerospace environments
- Built production ML infrastructure using PyTorch and AWS, implementing scalable pipelines for training and inference serving mission-critical applications
- Drove adoption of multimodal AI approaches combining computer vision and LLM-based document understanding, reducing manual processing time
- Mentored engineers on ML best practices, model deployment strategies, and production system architecture, establishing team-wide engineering standards
- Collaborated with cross-functional engineering and product teams to prioritize and deliver high-impact AI solutions on aggressive timelines
John Deere Financial
Brazil
July 2023 – August 2024
Senior Data Scientist | Technical Lead
Led technical strategy and delivery of ML-powered products for financial analytics.
Highlights
- Architected and led delivery of Next-Gen Market Insight Platform, coordinating across product, engineering, and data teams
- Served as technical lead, defining project scope, driving sprint execution, and unblocking engineers on ML integration challenges
- Designed and deployed production ML models using Python, scikit-learn, and AWS services for scalable financial analytics
- Built robust data processing pipelines integrating real-time data sources into production ML systems
- Implemented responsible AI practices including model evaluation, fairness testing, and deployment optimization
Lambda3
São Paulo, Brazil
August 2022 – June 2023
Data Scientist
Designed and shipped 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
Norte Asset Management
São Paulo, Brazil
January 2021 – March 2022
Partner & Engineering Lead
Co-founded data science function; hired, led, and grew a team building ML-powered products from zero to production.
Highlights
- Built and led a team of 5+ engineers from scratch, hiring, onboarding, and establishing engineering culture and processes
- Defined technical roadmap and architecture for ML-powered analytics platform supporting investment decision-making
- Established data infrastructure and engineering workflows, enabling rapid iteration on data products
- Architected real-time data products leveraging ML for actionable intelligence delivery
Shopee
Southeast Asia (Remote)
October 2020 – January 2021
Data Scientist
Developed ML models for e-commerce optimization at scale in a high-growth, fast-paced environment.
Highlights
- Developed machine learning models for SKU matching and pricing optimization in high-volume e-commerce marketplace
- Deployed production ML models at scale serving millions of users in a fast-paced, high-growth startup environment
- Implemented intelligent automation solutions to optimize operational workflows and system efficiency
Credit Suisse
Brazil
July 2011 – July 2018
Senior Systems Analyst
Developed and maintained critical financial systems in regulated banking environment.
Highlights
- Led solution delivery for critical financial systems over 7 years, coordinating with cross-functional teams in a regulated environment
- Drove adoption of modern software engineering practices, improving team velocity and code quality
- Built scalable software solutions using C#, .NET, and SQL serving mission-critical banking operations
- Ensured system reliability, security, and compliance with financial industry regulations
Projects
- PhD Research - Multi-Agent Reinforcement Learning: Conducting advanced research in Multi-Agent RL with focus on agent coordination and communication. Designing simulation environments and novel algorithms for training cooperative AI agents. Published research on learned communication protocols for multi-agent systems.
Contact
São Paulo, São Paulo BR
+55 11 95822-6351
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
Engineering Leadership
Advanced
Team Building & Hiring
Technical Roadmapping
Cross-Functional Collaboration
Mentoring & Coaching
Agile/Scrum
Remote Team Management
Engineering Culture
AI/ML Systems
Expert
Deep Learning
Reinforcement Learning
Computer Vision
LLM Integration
Natural Language Processing
Model Optimization
Production ML
MLOps
Programming Languages
Expert
Python
C#
JavaScript
SQL
ML Frameworks & Libraries
Expert
PyTorch
TensorFlow
LangChain
LlamaIndex
scikit-learn
NumPy
pandas
Cloud & Infrastructure
Advanced
AWS
SageMaker
Lambda
Docker
CI/CD Pipelines
Microservices
API Design
Distributed Systems
Software Engineering
Advanced
System Design
Design Patterns
Clean Code
Testing
Git/GitHub
Code Review