Fabiano Falcão

IT governance · Software engineering · Research

Fabiano Falcão, MSc Fabiano Damasceno Sousa Falcão

Connecting technology, governance and value stream.

I bring more than 25 years of experience in software engineering, technology management and digital transformation. My work combines a technical foundation with a strategic perspective on public-sector IT.

Based in Brasília, Brazil · Working at the Brazilian Chamber of Deputies

Fabiano Falcão outdoors in Brasília
IT Advisor & Software Engineer
25+ years
Professional experience in IT
Public-sector IT
Governance, engineering & transformation
UnB · 2026
Professional master’s in Electrical Engineering

Where I focus

At the Brazilian Chamber of Deputies (opens in a new tab) , I advise on ICT procurement, budget planning, governance and strategic technology matters.

These areas reflect my professional background and the technologies I use or study. My resume provides the context behind each role.

IT governance & leadership

IT governance, strategic technology leadership, procurement and outsourcing, project and team management, Scrum, and IT service management with ITIL.

Software engineering

Java, Angular and Vue; requirements engineering, object-oriented analysis and design, software testing, enterprise applications and microservices architecture.

Artificial intelligence & data

Python and R; machine learning, natural language processing, TensorFlow, PyTorch, scikit-learn, and machine learning services on AWS.

Data platforms & operations

Oracle, PostgreSQL, Elasticsearch, business intelligence, cloud computing, platform engineering and IT operations.

Security & privacy

Cybersecurity, secure software development and data privacy, including research on detecting personal data in source code.

Digital transformation

Electronic judicial processes and corporate systems in public-sector organizations, connecting governance and architecture with organizational needs.

University of Brasília · Professional master’s

Research at the intersection of software engineering, privacy and AI

My dissertation examines how architectural choices affect the detection of personal data in Java source code. It compares transformer classifiers, a hybrid classifier–LLM pipeline and LLM-based structured extraction.

I completed my Professional Master’s degree in Electrical Engineering in the first half of 2026, supervised by Edna Dias Canedo. My dissertation defense took place on .

Explore my academic background

Let’s connect

Interested in IT governance, software engineering, AI or data privacy? Get in touch or explore my professional and academic profiles.

Send me an email LinkedIn (opens in a new tab) GitHub (opens in a new tab) Google Scholar (opens in a new tab)