Software engineer with more than 9 years of experience building data-driven systems, automation, and end-to-end solutions.
Request CV / Contact via LinkedInSep 2016 - Jun 2018 | Independent Professional
I participated in a team focused on the development of automated trading systems for the Forex market, working with price action, indicators, and contextual analysis to support decision-making.
Sep 2018 - Apr 2020 | Independent Professional
I developed management dashboards and internal tools aimed at centralizing operational, commercial, and administrative processes, supporting specific client needs and improving control and organization of information.
Mar 2021 - May 2023 | Independent Professional
I developed data capture, transformation, and monitoring solutions, including extraction from dynamic websites, workflow automation, and textual information analysis.
May 2024 - Jun 2025 | Independent Professional
I developed a system to detect arbitrage opportunities between bookmakers based on real-time odds analysis, with simultaneous event processing and automated alerts.
Full stack stock market platform designed to analyze, connect, and filter companies through custom rules based on financial statements and real-time market data. It is currently in a prototype phase and under continuous development.
The source code is not publicly available, as this project is being actively developed as a personal product. A live demo and a detailed explanation of the system are provided. I am available to answer any technical or functional questions about the project.
Ybexthon was created out of the need to have proprietary tools to research the market beyond traditional filters. My objective has always been to develop a stock analysis application that allows companies to be examined in a more flexible and in-depth way.
Rather than being a closed application, Ybexthon is an evolving laboratory, a space where each new idea can be transformed into a rule, a relationship, or a measurable experiment, enabling companies to be analyzed from less conventional perspectives and continuously expanding analytical possibilities.
The platform integrates frontend, backend, database, and financial APIs to deliver structured real-time data analysis. It includes user management, authentication, full deployment setup, and automated background processes in Python for continuous analysis and user-specific customization.
Technical project developed in Go to detect real-time sports arbitrage opportunities based on odds received from different bookmakers.
This project is intended to demonstrate how to handle a real-time data flow in Go with multiple simultaneous events.
The application receives formatted football match odds through Redis Pub/Sub, maintains structures grouped by match and market, and runs the calculation when no new information arrives during a short time window. When it detects a valid opportunity, it sends the result to Telegram.
These are some of the technologies I have worked with throughout my software development journey, both in full-stack projects and in data analysis and processing.