Guilherme Pinheiro's Portfolio

Hello I'm

Guilherme Pinheiro.

Full Stack Software Engineer.

Based In

Portugal.

I am an engineer driven by the desire to make an impact through technology. Backed by Master's degrees in Engineering and Business Innovation, I build systems and entrepreneurial ventures that create real value. I approach every challenge with energy and integrity, constantly looking for the next concept to learn and apply.

Projects

Wattra accelerates the transition to low-carbon digital infrastructure by turning energy from a cost into an intelligent asset.

Learn by listening, leave the reading for us.

Link: Chrome Extension

Developed By: Post2Pod Team

Figma

Github

Python

React

Vite

Post2Pod was designed to solve the common pain of information overload for busy professionals and lifelong learners - transforming news articles, blog posts, newsletters, and even LinkedIn posts into podcast episodes, ready to stream on any preferred listening app. The goal was simple: take unread, "save-for-later" lists and turn them into personalized audio content, freeing users from screen fatigue and letting them learn while on the go.

Core Features

Chrome Extension: The free browser extension lets users instantly convert any public article, blog post, or newsletter into a podcast episode by clicking in their browser.

Personalized Feeds: Each user receives a unique podcast RSS feed to subscribe in apps like Apple Podcasts or Pocket Casts, with new episodes delivered automatically.

B2B White Label: For businesses, Post2Pod offered a white label portal, enabling companies to create their own internal audio portals and transform knowledge sharing networks into on-demand podcasts.

Cross-Platform Delivery: Except for platforms like Spotify (which limits private feeds), users could listen on iOS, Android, and most major podcast apps.

Community and Reach

Post2Pod gained traction in podcasting, productivity, and tech communities - highlighted on Reddit, newsletters, and by word-of-mouth from listeners seeking to make personalized content consumption more convenient. Feedback emphasized its value as a tool for learning, multitasking, and reducing digital overwhelm.

Lessons Learned

Despite the promise, Post2Pod saw slow adoption and a limited user base. In retrospect, this was a classic case of launching a solution before deeply validating the problem. As a Business Innovation master's graduate, the approach would now be different: focusing first on in-depth discovery, interviewing users, experimenting with prototypes, and letting the market signal its strongest needs before building and selling. This iterative, customer-driven model would have surfaced real pain points early, informed commercial strategy, and improved user acquisition.

Decision to Close

Ultimately, Post2Pod was discontinued due to a low number of users, underscoring the importance of grounding product development in clear, validated customer problems for sustainable growth.

Algorithm that is segmented into 4 parts: Stock Analysis System, Recommendation Engine, Economic Factors Monitor and Identity Service.

Developed By: Me

Git

Github

Oracle

Python

This project began from a strong desire to explore diverse tech stacks and software engineering patterns while pursuing my passion for data-driven investing. Motivated by a goal to generate passive income exceeding my monthly earnings, I developed a Stock Picking Algorithm focused on US stocks using publicly available data from SEC and economic indicators from the Bureau of Economic Analysis - all at zero cost.

System Architecture

The algorithm is modularized into four systems:

- Stock Analysis System leveraging principles from Value and Fundamental Investing plus basic technical analysis,

- Recommendation Engine suggesting stocks to buy or monitor,

- Economic Factors Monitor tracking key macroeconomic indicators,

- Identity Service securing service APIs.

Performance and Evolution

After running the system for a year, the portfolio averaged around 18% profitability despite initial missteps. My tech stack journey evolved from AWS Free Tier PostgreSQL, to Raspberry Pi with MariaDB, and ultimately to Oracle with PL/SQL for greater reliability and reduced maintenance.

Key Learnings

- Vigilance around cloud service costs is critical,

- Hands-on infrastructure experience is invaluable but time-consuming,

- Flexibility to adapt queries and refactor algorithms is essential when changing database platforms,

- Investing in a robust solution balances complexity and reliability.

Data Management

Data consistency and API rate limits were carefully managed through validation steps and custom exceptions. The system currently focuses on US public companies with plans to expand to global markets while maintaining cost-effectiveness.

Transition to AI

Ultimately, I decided to replace this algorithm with two AI-powered workflows that leverage complex techniques for stock evaluation and selection. It requires more manual work now, but the results are way better. If you want to learn more about this transition or the AI workflows, feel free to ping me.

A personal website to showcase my projects and experiences.

Have a project in mind?

Let's build something real together.