About
| Location | Brazil |
| Time zone | UTC-3 |
| Work mode | Remote |
Bridging the gap between complex systems and intelligent reasoning.
Hello, I'm Hygor!
I am a Data Scientist working as a consultant in projects for different areas like retail, supply chain, and optimization. I leverage mathematics, engineering, and deep analysis to turn raw data into clean, production-grade solutions.
I have a decade of experience as a Systems Architect, Analyst, and Software Engineer in the development of enterprise and web applications. This background allows me to build ML systems that are not just models in a sandbox, but robust architectures designed to integrate smoothly with enterprise software environments.
In my Master's research, I worked within the Machine Learning area, focused on computational intelligence and the development of semi-supervised learning algorithms—seeking elegant ways to train models when labeled data is scarce.
My core interest is in working on high-impact solutions that employ data, artificial intelligence, and machine learning methods to build new, highly-scalable, and transparent capabilities for users.
Experience
Data Science Team Leader & AI Architect Peers Consulting + Technology
Leading data science and intelligent system initiatives across retail, supply chain, pricing, and hypersegmentation; leading the architecture of an enterprise SaaS platform powered by multi-agent workflows.
- Architected enterprise AI capabilities leveraging LLMs, agentic workflows, knowledge graphs, and RAG architectures for production decision-support systems.
Architecture & Systems Analyst ONS (National Electric System Operator)
Evolved from IT Trainee to Systems & Architecture Analyst II, focusing on containerized application platforms, MLOps infrastructure, and mission-critical planning systems.
- Designed and implemented standardized MLOps pipelines with AWS SageMaker to streamline enterprise data science deployments.
- Built automated CI/CD and container delivery workflows, organized company-wide data competitions (DatathONS), and integrated custom NLP pipelines into production systems.
Software Engineer & Machine Learning Researcher Imersa · Smarti9 · UFJF
Foundational software engineering and applied research across backend APIs, mobile development, and academic machine learning.
- Researched and authored novel semi-supervised learning methods using Support Vector Machines and maximum margin classifiers (MSc research).
- Engineered scalable RESTful backend services (Python, Flask, PostgreSQL, Celery, RabbitMQ) with automated GitLab CI/CD pipelines deployed to AWS.
Skills & Technologies
AI & Machine Learning
- AI Agents & Multi-Agent Systems
- Large Language Models (LLMs) & RAG
- Knowledge Graphs (Neo4j)
- Semi-Supervised Learning & SVMs
- Scikit-Learn, Pandas, NumPy
Architecture & Systems
- Enterprise SaaS Architecture
- RESTful API Design
- Distributed Workflows (Celery, RabbitMQ)
- Clean Architecture & SOLID Principles
- System Modeling & Integration
MLOps & Data Engineering
- MLOps Pipelines
- Docker & Container Orchestration
- CI/CD (GitLab CI, GitHub Actions, Jenkins, Azure DevOps Pipelines)
- Relational & Graph Databases (PostgreSQL, Neo4j)
- ETL & Data Processing (Polars, Pandas)
Core Stack & Languages
- Python (Advanced / Async / Scientific)
- SQL & Data Modeling
- Linux Systems & Bash Scripting
- English (C1 Proficient / Full Professional)
Education
M.Sc. in Computer Science Universidade Federal de Juiz de Fora (UFJF)
Focused on Computational Intelligence and Machine Learning. Thesis and research developed a novel method related to semi-supervised learning algorithms.
B.Sc. in Computer Science Universidade Federal de Juiz de Fora (UFJF)
Solid foundational education in Software Engineering, database architectures, discrete mathematics, and algorithms.
Publications & Certifications
A best-first branch-and-bound search for solving the transductive inference problem using support vector machines
Novel semi-supervised optimization framework for transductive SVM classification developed during M.Sc. research at UFJF.
EF SET English Certificate C1 Advanced (Score: 68/100)
Certified Effective Operational Proficiency in English for professional and technical international communication.