AI2025
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- Python
- scikit-learn
- FastAPI
Hi, I'm
Andrew Figueiredo
Assessment of AI opportunities, LLM integration into products and process automation with n8n and RPA.
5+
years of experience
3
companies
Experience at: CODATA · ENACOM · FAPESQ
AI Consulting
Assessment of AI opportunities in existing processes · LLM integration into products and workflows
Automation and Bots
Process automation with n8n · WhatsApp and Telegram chatbots
About
I came into software engineering through quality and automation, which gave me a complete reading of how a system is built, where it breaks and what it takes to keep it running in production.
Today I build web applications, integrate AI solutions and automate processes. These are three layers of the same work: building the system, embedding intelligence in it and automating the operation around it.
My background is in Computational Mathematics, with a degree in Data Science and a master’s in Information Technology researching AI applied to Software Engineering.
Services
AI Consulting
- Assessment of AI opportunities in existing processes
- LLM integration into products and workflows
- Development and training of custom machine learning models
- Predictive modeling and advanced data analysis
- Intelligent process automation
Automation and Bots
- Process automation with n8n
- WhatsApp and Telegram chatbots
- System integrations and RPA
Projects
AI2025
Internal document assistant
Answers questions about internal policies citing the source, reducing dependency on specialists.
- Python
- LLM
- PostgreSQL
How I work
- 01
Requirements gathering and analysis
Understanding the actual process before proposing a solution, including what exists and what cannot break.
- 02
Architecture and modeling
Defining boundaries, contracts between components and the data model before the first line of code.
- 03
Development
Incremental implementation, with verifiable deliveries instead of a single milestone at the end.
- 04
Quality, automated testing and CI/CD
Automated suites wired into the pipeline, static analysis and gates that keep regressions out of production.
- 05
Deployment, monitoring and evolution
Automated releases, tracking behaviour in production and continuous adjustment.
Skills
AI & Machine Learning
- LLMs
- Treinamento de modelos
- ML supervisionado
- ML não supervisionado
- Redes neurais
- Classificação
- Regressão
- Árvores de decisão
- scikit-learn
- PySpark
- MLOps
- Avaliação de modelos
- Jupyter
- Python
- R
Automation & Bots
- n8n
- Chatbots WhatsApp
- Chatbots Telegram
- Power Automate
- Integrações entre sistemas
- RPA
Data & BI
- Power BI
- Dashboards
- Modelagem de dados
- Análise de dados
- Knime Analytics
Infra & DevOps
- Docker
- Nginx
- GitHub Actions
- Linux/VPS
- CI/CD
Methodologies
- SCRUM
- Ágil
- Design Patterns
- Clean Code
AI: education and research
Research
Keep Chat Project · FAPESQ / SECTIES-PB
Sep/2025 – present
Educational initiative for training and qualification in generative Artificial Intelligence tools, aimed at promoting positive social impact. Research funded by the state government.
Official source ↗Education
Master's in Information Technology · IFPB
Feb/2025 – present
Systems Management and Development track. Research on AI applied to Software Engineering: machine learning in testing, quality and automation. Study of LLMs.
Technologist in Data Science · UNIPÊ
Feb/2021 – Dec/2022
Supervised and unsupervised ML: classification, regression, decision trees, neural networks. Model evaluation with scikit-learn. MLOps. Big data with PySpark, PostgreSQL and MongoDB.
BSc in Computational Mathematics · UFPB
Jul/2016 – Dec/2021
Mathematical foundation of the models: computational linear algebra, numerical calculus, optimization, numerical analysis and mathematical modeling. Teaching assistant for Calculus II and Discrete Mathematics.
Experience
FAPESQ / SECTIES-PB
Research grant · 20h/weekSep/2025 – presentResearcher — IT Analyst | Keep Chat Project
Sep/2025 – present
- Applied research on generative AI tools within a state-funded public project
CODATA — Companhia de Dados da Paraíba
EmploymentNov/2024 – presentIT Analyst — Development and Quality
Nov/2024 – present
- Built Python automation suites with Playwright and Pytest
- Implemented BDD with Pytest-BDD and wired reporting into the pipeline
- Code quality analysis with SonarQube
- Built technical tracking dashboards
- Performance testing and application bottleneck analysis
ENACOM
EmploymentJul/2021 – Oct/2024Software Quality Analyst V — Technical Lead
Feb/2023 – Oct/2024
- Technical leadership of the team, defining code and process standards
- Built Python automations to streamline workflows
- Pipeline and TestPlan administration in Azure DevOps
- Worked alongside the client during assisted system operation
Software Quality Analyst III
Oct/2022 – Feb/2023
- Built web automations using the Page Object pattern
- Process automation with Power Automate
Software Quality Analyst I / Internship
Jul/2021 – Oct/2022
- Cypress (JavaScript) automation with Page Objects
- REST API testing and integration
- MongoDB database handling
UFPB
EmploymentApr/2019 – Jan/2020Mobile Developer
Apr/2019 – Jan/2020
- Built a mobile application in React Native
- Prototyping in Figma
Contact
Available for consulting, projects and technical conversations.