Filipe

Business Analyst & Developer

I work with business analysis, financial modeling, and software development, combining analytical thinking with the ability to build tools and put ideas into practice.

About me

My background is in mathematics and statistics. I started working with web scraping, data pipelines, and automation, then expanded into internal systems and tools that support operations and decision-making.

Today, a substantial part of my work is dedicated to business analysis and financial modeling in the real estate sector. I work through assumptions and scenarios, organize information, and translate complex questions into analyses that support decisions.

Software remains an important part of how I work. My development process is driven by AI agents, with my focus on the purpose of the solution, its design, and the criteria that make it useful and maintainable.

What interests me

I enjoy learning and understanding how things work: the mechanisms behind a system, the assumptions behind a decision, and the reasons one approach works better than another. That curiosity connects my interests in mathematics, software, finance, and business.

I'm especially interested in startups and how businesses are built. I want to develop a better understanding of industries, the problems people face, and how to recognize opportunities where technology can create value.

Cloud computing interests me both for its practical applications and for the architecture that makes computing at scale possible. I'm also curious about how agents, tools, and development environments change the way software is built.

I like organizing my thoughts and learning with tools such as Todoist, Obsidian, and simple documents. This site's history is another way to keep a record of how my work and interests evolve.

What I work on

Business & finance

  • Business analysis

    Analyzing business scenarios, organizing information, and assessing assumptions to support decisions.

  • Financial modeling

    Building and maintaining models to explore assumptions, scenarios, risks, returns, and financing alternatives.

  • Decision support

    Structuring quantitative and qualitative information so that alternatives and trade-offs can be assessed clearly.

Software, data & operations

  • Internal systems and automation

    Building tools that support business operations, improve processes, and organize information.

  • Data workflows

    Collecting, processing, and connecting data to make it usable in analyses and day-to-day work.

  • From requirements to implementation

    Defining what a solution needs to accomplish and guiding its development with AI agents.

How I develop software

My coding workflow is driven by AI agents and the harnesses that support them: the tools, context, and execution environment in which they work. I guide the implementation by defining the product objective and the standards the solution needs to meet.

I remain curious about languages and libraries, especially which tools fit a particular problem. My emphasis is on development efficiency, consistency with the project, and code that both people and agents can work with in the future.

Product purpose & experience

Define the product objective and the experience of its users and developers — User Experience (UX) and Developer Experience (DX).

Security & performance

Establish the security and performance criteria that guide implementation and validation.

Organization & documentation

Set project structure, conventions, naming, and documentation so that future changes have clear context.

Validation & automated tests

Choose validation tools and define the behaviors and principles that automated tests should verify.