Marco Antonio Gonzalez Junior

Solutions Architect

São Paulo, Brazil    |    m@rco.sh    |    +55 (11) 91577-7715    |   

Professional Summary

Seasoned Solutions Architect with over 15 years of experience in designing and implementing large-scale systems and cloud-native solutions. Proven track record of leading cross-functional teams and delivering innovative, high-performance, and scalable solutions for the finance, retail, and e-commerce sectors. Strong expertise in AWS cloud architecture, microservices, and data-driven decision-making. Adept at aligning technology with business goals and driving continuous improvement across development teams.

Education

Faculdade de Informática e Administração Paulista | São Paulo
MBA Data Science | 2015 - 2016

Faculdade Impacta de Tecnologia | São Paulo
BS Information Systems | 2011 - 2015

Universidade Federal de São Carlos | São Carlos
BS Materials Engineering | 1996 - 2000

Skills

Engineering background:
Scientific method, Calculus, Algebra, Physics, Statistics

Cloud Computing:
Amazon Web Services, Azure, Google Cloud Platform, Serverless Architecture, Event-Driven Design

Architecture Governance:
Decision Frameworks, Technical Debt Management, Review Processes

Enterprise Integration:
Event Sourcing, CQRS, Saga Pattern, Domain-Driven Design

DevOps:
Docker, Kubernetes, Terraform, Packer, GitHub Actions, ArgoCD, Helm, Jenkins, Ansible, GitOps Workflows

CI/CD Pipelines:
Advanced Deployment Strategies, Pipeline Security, Build Automation

Observability:
Prometheus, Grafana, Jaeger, OpenTelemetry, Datadog, ELK Stack, Grafana LGTM Stack, Distributed Tracing, SLOs/SLIs, Error Budgets

Performance Engineering:
Load Testing, Caching Patterns, Distributed Systems Optimization

API Development:
RESTful Architecture, GraphQL, gRPC, WebSockets, API Gateway, OpenAPI/Swagger, Security, Rate Limiting, Versioning

Web Development:
Frontend (HTML5, CSS3, JavaScript), Backend, Performance Optimization, SEO, Responsive Design, Web Accessibility, Progressive Web Apps

Web frameworks:
React, Next.js, Rails, Django, Flask, Express, Svelte

Programming languages:
TypeScript, Python, Go, Ruby, Java, Flutter, C++

Databases:
Relational, Key-Valued, Columnar, Graph and Document oriented

Data Science:
Data Wrangling, Analysis, Visualization, Big Data, Streaming Architectures, Statistical Modeling, ETL Pipelines, Data Lakes

Machine Learning:
Statistical Learning Theory, Algorithm Design, Model Optimization, Feature Engineering, Evaluation Metrics

Deep Learning:
PyTorch, TensorFlow, Keras, Neural Networks, Computer Vision, NLP, Transformers

Certifications

Amazon Web Services (AWS)
Certified Solutions Architect Professional | 2025
Certified Machine Learning Engineer | 2024
Certified Machine Learning - Specialty | 2024
Certified AI Practitioner | 2024
Certified Solutions Architect Associate | 2022
Certified Developer | 2022
Certified Cloud Practitioner | 2022

Stanford University and DeepLearning.AI
Machine Learning Specialization | 2024
Deep Learning Specialization | 2024

IBM
IBM AI Engineering Professional | 2024
IBM AI Developer Professional | 2024
Generative AI for Software Developers | 2024

University of Alberta
Software Design and Architecture Specialization | 2024

University of Michigan
Statistics with Python Specialization | 2019

Stanford University
Machine Learning (CS229) | 2017

University of California, San Diego
Big Data Specialization | 2016

University of Washington
Machine Learning Specialization | 2016

Johns Hopkins University
Data Science Specialization | 2015

University of Illinois at Urbana-Champaign
Data Mining Specialization | 2015

Linux Professional Institute
LPI 101, LPI 102 | 2010

Sun Microsystems
Certified on the Java Platform: SCJA, SCJP, SCJD, SCWCD, SCBCD, SCDJWS, SCEA | 2008

Experience

Capco | São Paulo
Solutions Architect - Artificial Intelligence | Sep 2024 - current

As a Solutions Architect specializing in artificial intelligence and legacy modernization, I lead efforts to transform outdated systems using generative AI. By leveraging both commercial and open-source LLMs, I enable organizations to modernize their COBOL, Natural, PL/1, and other legacy applications into robust, microservices-based architectures in Java, TypeScript, and .NET. My work bridges the gap between legacy systems and cutting-edge technology, ensuring seamless transitions for clients.

Key contributions:

IBM | São Paulo
Senior Solutions Architect | Jul 2022 - Sep 2024

As a Consultant at IBM, I specialized in implementing and optimizing IBM WatsonX features for enterprise clients, delivering AI-driven solutions to meet business needs in the finance and retail sectors. My responsibilities included advising clients on best practices for integrating WatsonX’s advanced machine learning, natural language processing, and analytics capabilities into cloud-native applications and solutions architecture. I collaborated with cross-functional teams to design and implement scalable AI strategies that enhanced operational efficiency, data-driven decision-making, and customer experience.

In this role, my main accomplishments were:

banQi | São Paulo
Senior Solutions Architect | Jun 2019 - Jul 2022

As a Solutions Architect and Technical Lead, I led cross-functional collaboration with stakeholders to ensure that system architecture aligned with both the organization’s strategic goals and the product vision. I unified architectural designs and drove technical decisions, ensuring scalability, sustainability, and efficiency throughout our systems. My work focused on delivering robust and effective solutions architecture, addressing complex business challenges while maintaining alignment with enterprise strategies.

In this role, my key responsibilities included:

Petlove | São Paulo
Tech Lead | May 2015 - Jun 2019

Jüssi | São Paulo
Solutions Architect | Nov 2012 - May 2015

Editora Abril | São Paulo
Senior Software Engineer | Sep 2008 - Nov 2012

Past Experiences

Serasa Experian | Enterprise Architect
Western Union | Senior Software Engineer
Toyota do Brasil | Software Engineer
Wdotnet Internet | Owner
Flyever Electronics | Software Engineer

PROJECTS

Learning

This project is a personal tool designed to store and organize study notes related to IT certifications and general IT knowledge. It allows me to create well-structured notes with clear organization, making it easier to review and revisit key concepts. The tool features an intuitive search functionality, enabling quick retrieval of specific notes based on keywords or topics. It aims to enhance learning and exam preparation by providing a centralized and organized platform for managing IT study resources.

Blogmarks

This project is a personal tool designed to save, organize, and tag bookmarks of interesting URLs for study and future reference. It allows me to quickly store links, add descriptive tags, and categorize them for easy retrieval. The tool includes search and filtering functionalities to help users find specific bookmarks based on tags, keywords, or categories. It aims to enhance individual productivity by providing a centralized platform for managing web-based resources.

Codemarks

This project is a personal tool designed to save and manage useful code snippets for study and future reference. It allows me to quickly store snippets and leverage advanced search options to find specific snippets based on keywords. The tool aims to enhance productivity and learning by providing a centralized platform for managing code-based resources.

Résumé

This project itself.

LANGUAGES

PortugueseNative
EnglishAdvanced
FrenchBasic
SpanishBasic