Over the past 15+ years, I’ve specialized in backend engineering, data systems, and applied AI, leading complex digital transformation projects for both the public and private sectors.
My expertise lies in building scalable architectures, integrating AI and automation, and transforming raw data into intelligent systems that drive measurable results.
This timeline showcases my journey in technology, leadership, and innovation.
Leads the team responsible for Hermes, Embratur’s strategic management system that connects planning to budget execution — recognized as a Google Global Success Story. Oversees the development of automation workflows and internal AI agents using N8N, as well as the implementation of productivity tools such as Lovable, Gemini CLI, and Claude Code. Heads the Apollo Project, automating open data processing, transformation, and publication. Also manages the integration between Embratur’s internal systems and the ERP Benner, while designing and deploying AI-driven data pipelines and backend systems with Python and FastAPI.
Tech Stack: Python, FastAPI, Airflow, PostgreSQL, Docker, LangChain, CrewAI, N8N, Lovable, Google Cloud
Directed backend and data engineering projects supporting national communication infrastructure. Implemented CI/CD pipelines that reduced deployment cycles by 30%, and developed real-time APIs and analytics dashboards to support strategic decision-making. Managed a team of 22 engineers, aligning architecture and development with modernization and cloud strategies across the organization.
Tech Stack: Python, Django, FastAPI, PostgreSQL, Docker, Kubernetes, Terraform, Oracle Cloud
Led the development of data pipelines and automation workflows to enhance executive decision-making and operational analytics. Managed the modernization of the People and School Management System and mentored developers across multidisciplinary teams to deliver scalable, high-impact solutions for the public sector.
Tech Stack: Python, Django, Airflow, PostgreSQL, PowerBI, Tableau, AWS
Developed and deployed machine learning and data processing pipelines to predict educational performance, while leading AI and analytics initiatives in collaboration with the Ministry of Education. Built and maintained the IFRN Open Data Portal and delivered multiple cloud-native systems using AWS and Serverless frameworks.
Tech Stack: Python, Django, Flask, Airflow, AWS, MLflow, Docker
My career began at Mix Internet, where I developed websites using PHP, HTML, CSS, JavaScript, and Python. As a freelance developer, I created corporate web and desktop applications across multiple programming languages, including PHP, Ruby, C#, and Java. This period allowed me to gain hands-on experience in managing diverse projects for various industries, focusing on scalability and user experience.
My expertise spans a broad range of technologies and methodologies, including:
Python (Django, Flask, FastAPI), JavaScript, PHP, Ruby, C#, Java, TypeScript, Node.JS, React, Next.js.
Data pipelines, ETL, PostgreSQL, MySQL, MongoDB, DuckDB, ElasticSearch, OpenSearch, Supabase, Apache Airflow, Kafka.
LLM, OpenAI Platform, NLP, Computer Vision, Generative AI (Stable Diffusion), GroqCloud, Langchain.
AWS, Oracle Cloud, GCP, Azure, Docker, Kubernetes, CI/CD (Gitlab CI, Github Actions, ArgoCD), Serverless Architecture.
Selenium, Requests, BeautifulSoup, Pandas, Scikit-learn, PySpark.
Leadership, Project Management, Communication, Problem-Solving, Creativity.
