Software Engineer | GenAI Researcher | Clojure | Clean Architecture • DDD • TDD

"Engineering robust backends through clean architecture, functional principles, and secure design—where distributed systems meet pragmatic software engineering, and every service becomes a scalable foundation for business growth."

⚙️ Backend Engineering – The pursuit of scalable and resilient systems

I'm currently diving deep into advanced backend architectures and applied AI:

• Systems Engineering: Building highly concurrent, low-latency services with Clojure
• TypeScript & React: Developing modern fullstack applications with strong typed contracts between frontend and backend
• Python for GenAI: Creating AI-powered backends using LangChain, RAG, and production-ready GenAI pipelines
• Distributed Systems: Designing event-driven, message-based, and resilient architectures
• Clean Architecture & DDD: Applying domain-driven design and hexagonal architecture to build maintainable systems
• Tech Leadership Foundations: Growing towards Tech Lead by focusing on mentorship, design reviews, and cross-team architecture alignment

This journey reflects my commitment to backend mastery and leadership—where engineering excellence meets pragmatic delivery.

📚 Technical Writing & Knowledge Sharing

• Clojure Is Awesome Series - English | Comprehensive series exploring Clojure's elegance and power - Dev.to, 2025
• The Importance of Adhering to RFCs and Best Practices When Building REST APIs - Portuguese | Deep dive into API design standards - Medium, 2025
• The Importance of Code Style: Elevating the Quality of Your Code - Portuguese | Code quality and maintainability practices - Medium, 2024
• Surfing with FP Java - English | Deep dive into Functional Interfaces in Java

🏆 Professional Impact

• Production Systems: Architected and delivered scalable backend solutions across Insurance, Education, and Finance sectors
• Open Source Contributions: Active contributor to functional programming community and educational content

Python | JavaScript/TypeScript | Clojure

My foundation is functional and expressive. I master Python for building GenAI-powered systems and production-ready backends, TypeScript for React Apps front-ends, and Rust for low-level systems, high-performance REST APIs

Java(2 Years) | Python(2 Years) | Ruby(1 Year) | Clojure(1 Year) | JavaScript/TypeScript(1 Year)

Languages I've wielded in real-world production environments, contributing to significant systems and business outcomes.

Clojure(3 Year)

Backend Engineering | Distributed Systems | Clean Architecture & DDD | GenAI Integration

My current exploration is focused on pushing the boundaries of backend engineering:
from building highly concurrent systems in Python/Clojure, to integrating GenAI into production backends with Python,
to exploring modern fullstack experiences with TypeScript and React.

This path is guiding me toward becoming not just a strong individual contributor, but a future Tech Lead who can drive architecture, mentor teams, and deliver business-critical systems at scale.

Relational: PostgreSQL, Oracle (PL/SQL), IBM DB2
NoSQL: MongoDB Analytics: Google BigQuery Performance: Query optimization, indexing strategies, database design patterns

Containerization: Docker
CI/CD: GitHub Actions, Jenkins, Bamboo, Azure DevOps
Monitoring: Application performance monitoring, logging strategies

Modern Auth: JWT, OAuth 2.0
Security Patterns: Zero-trust architecture, API security, encryption at rest/transit

Methodologies: Agile (Scrum, Kanban), DevOps culture, TDD/BDD
Collaboration: Code reviews, pair programming, technical mentoring
Tools: Jira, Azure Boards, Confluence, technical documentation

A comprehensive collection of design patterns implemented with clean code principles and extensive documentation.

Advanced data structure implementations with algorithmic complexity analysis and real-world use cases.

My commitment to software craftsmanship through established guidelines and documented practices:

• ✅ Git Workflow Excellence - Branching strategies, commit conventions, collaborative development
• ✅ Technical Documentation - Living documentation, architectural decision records
• 🔄 Environment Management - Development, staging, production parity
• 🔄 Dependency Management - Version control, security scanning, update strategies
• ✅ Testing Excellence - TDD, integration testing, test pyramid principles
• 🔄 Project Structure - Clean architecture, naming conventions, modularity
• ✅ Code Style Standards - Linting, formatting, consistency across teams
• ✅ Logging Strategies - Structured logging, observability, debugging practices
• 🔄 API Design - RESTful principles, GraphQL patterns, versioning strategies

Uninassau
❒ Artificial Intelligence | 2026 - 2028
Focus: Machine learning models, deep learning architectures, natural language processing (NLP), computer vision, and ethical implications of AI.

🛡️ Artificial Intelligence & Machine Learning Postgraduate – Advanced machine learning algorithms, deep learning optimization, natural language processing, reinforcement learning, and ethical AI frameworks
⚙️ Software Engineering Postgraduate – Systems architecture mastery, distributed computing, secure development lifecycle, and technical leadership

Professional Presence

• 💼 LinkedIn: andrefilipefonsecaborba - Professional networking and industry insights
• 🚀 GitHub: AF2B - Open source contributions and technical projects
• 🧠 LeetCode: andreborba - Algorithmic problem solving and competitive programming

Technical Writing & Knowledge Sharing

• ✍️ Medium: @andre.borbaaf2b - In-depth technical articles and software engineering insights
• 👨‍💻 DEV Community: borba - Community engagement and technical tutorials
• 🌎 Personal Website: Coming Soon - Technical blog and portfolio showcase
• 📄 Professional Resume: PDF Version In Progress

ALT: АНДРЕ БОРБА
ALT: Clojure Nerd

"Code is poetry written for machines to execute and humans to understand. I strive to make both audiences appreciate the craft."