About Me
I'm a Full-Stack Engineer, Data Scientist & ML Engineer, and a double-degree student in Software Engineering & Computer Science (2025–2029). I build across the entire stack, from pixel-precise frontends to distributed backends and trained neural networks.
I operate across multiple ecosystems: the TypeScript ecosystem (React, Next.js, Node.js, NestJS) for modern web, the Java ecosystem (Spring Boot, Spring Cloud, JPA/Hibernate) for enterprise backends, Python for data science and ML pipelines, and Go, C++, and Rust when performance and low-level control matter most.
On the AI/ML side, I train and fine-tune Deep Learning models using PyTorch and TensorFlow, compete on Kaggle, and publish models on Hugging Face, with a focus on Computer Vision, NLP, and applied data workflows.
Everything I build is shaped by Clean Architecture, Domain-Driven Design, and SOLID principles. I care about code that is testable, maintainable, and built to last, not just code that works today.
I'm actively looking for Internship or Junior Engineering roles where I can contribute to real systems, learn from strong teams, and grow as an engineer.
Full-Stack Systems
React, Next.js, Node.js, and NestJS with production-grade ergonomics.
Java / Spring Backend
Spring Boot, Spring Cloud, JPA/Hibernate, Spring Security, and Maven/Gradle.
Cloud & DevOps
Docker, Kubernetes, CI/CD pipelines, and AWS cloud delivery.
AI/ML Integration
Deep Learning, Kaggle experimentation, and Python data workflows.
Architecture & Design
Clean Architecture, Domain-Driven Design (DDD), and SOLID principles.
Backend Engineering
REST/GraphQL/gRPC APIs, microservices patterns, and event-driven systems with Kafka & RabbitMQ.
Systems & Low-Level
C, C++, C#, and Rust for performance-critical code, game engines, and concurrency patterns.
Data Strategy
Relational and NoSQL modeling, query optimization, and caching strategies.
Professional Experience
Machine Learning & Data Science Competitor
Kaggle
Participating in global data science competitions to benchmark models, refine feature engineering, and stress-test applied ML workflows.
Key Responsibilities & Tech:
- •Training Deep Learning models using PyTorch and TensorFlow for Computer Vision and NLP tasks
- •Implementing advanced feature engineering and large-scale data processing pipelines with Pandas and NumPy
- •Applying mathematical optimization and regularization techniques to improve model generalization
- •Fine-tuning and deploying models from Hugging Face Hub and studying SOTA architectures and modern training techniques
Full-Stack Software Engineer
Freelance / Self-Employed
Delivering production-grade full-stack solutions with a focus on performance, security, and maintainability using Clean Architecture and Domain-Driven Design.
Key Responsibilities & Tech:
- •Architecting RESTful, GraphQL, and gRPC APIs using Node.js (NestJS), Spring Boot (Java), and Go
- •Building enterprise Java backends with Spring Security (JWT/OAuth2), Spring Data JPA/Hibernate, and Spring Cloud microservices
- •Deploying containerized services to AWS and multi-cloud environments using Docker, Kubernetes, and Terraform
- •Building responsive frontend interfaces with React, Next.js, and Tailwind CSS
- •Implementing event-driven architectures using Apache Kafka and RabbitMQ for asynchronous workflows
- •Optimizing database performance for PostgreSQL, MySQL, and MongoDB including query indexing, caching with Redis, and Elasticsearch integration
Intern
Arte Gráfica
Gained practical experience in visual communication and digital media production.
Key Responsibilities & Tech:
- •Developed skills in graphic design and visual communication
- •Collaborated on design projects and client deliverables
- •Applied technical knowledge in a professional team environment
Education & Certifications
A continuous journey combining academic rigor in Computer Science & Software Engineeringwith practical, professional certification in cloud technologies.
Academic Background
Bachelor's Degree
Computer Science
Uninter
Focus on Algorithms, Data Structures, and Mathematical Foundations.
Bachelor's Degree
Software Engineering
Estácio
Focus on System Design, Software Architecture, and Engineering Practices.
Professional Formation
Software Engineer
Escola DNC
Intensive training in Full-Stack Development and Career Acceleration.
Integrated Technical Course
Systems Development
EEEP Professora Maria de Jesus Rodrigues Alves
Foundation in programming logic, web development, and database management.
Certifications & Courses
Code Repositories
I organize my development work across specialized platforms. Explore my code, models, and datasets based on your area of interest.
Open Source & Web
My primary hub for production-grade applications. Home to my work with the TypeScript ecosystem (NestJS, Next.js), the Java ecosystem (Spring Boot, Spring Cloud), Python, Go, Databases (SQL/NoSQL) and Cloud/DevOps infrastructure.
Systems & Low-Level
A laboratory for high-performance engineering. Here I explore system design, concurrency patterns, and game engines using C#, C/C++, and Rust.
AI & Machine Learning
The repository for my research into artificial intelligence. Includes trained models, datasets, and NLP experiments with PyTorch and TensorFlow.
Data Science & Competitions
My arena for benchmarking models and feature engineering. I participate in global competitions to stress-test applied ML workflows and data strategies.
Technical Stack
My stacks span the TypeScript ecosystem (Node.js, React, Next.js, NestJS), the Java ecosystem (Spring Boot, Spring Cloud, JPA), and Python and Go for automation, data workflows, and concurrency-critical services.
Languages
Java Ecosystem
Backend & APIs
Frontend Development
Cloud & DevOps
Databases & Caching
AI/ML & Data
Systems & Low-Level
Let's Connect
I am actively pursuing Internship and Junior Engineering roles where I can apply modern web development, cloud-native delivery, and AI/ML to production contexts.
Whether you want to discuss Clean Architecture, Kaggle Competitions, or Full-Stack Systems, I'd love to hear from you.
emanuellzr01@outlook.com
Connect for opportunities
Kaggle
View my Notebooks
Hugging Face
Follow my AI/ML models
GitHub
Explore my code
GitLab
Explore my low-level code