Wagner Santos
Co-Founder - Software Engineer at AdaptWorks
São Paulo, Brazil
Summary
🤩
Rockstar🎓
Top SchoolWagner Santos is a seasoned software engineer and serial founder based in São Paulo with nine years of professional experience and a long track record of building and running tech ventures. As Co-Founder of Emergent Methods he drives AI projects focused on reducing bias and increasing transparency, while at Compleo he leads product and strategic direction for enterprise recruitment software tailored via custom implementations. He contributes to open-source machine learning tooling in the crypto space, improving backtesting and prediction reliability for the widely used freqtrade trading bot. His background spans hands-on development, operations and support roles dating back to Visteon, giving him a pragmatic systems-first perspective. Wagner pairs entrepreneurial leadership with technical depth, combining product strategy and backend engineering to move experimental AI work into production-ready systems. Based in Brazil, he is notably comfortable bridging bespoke enterprise needs with open-source innovation.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Universidade Estadual Paulista Júlio de Mesquita FilhoBachelor of Technology - BTech, Information Technology, Bachelor of Technology - BTech, Information Technology at Universidade Cruzeiro do Sul
Stackoverflow
11reputation
336reached
0answers
1question
Github Skills (12)
pandas10
machine-learning10
python10
backtesting10
algorithmic-trading10
backtest10
data-engineering10
fread10
machine-learning-models9
azure6
dns6
azure-cognitive-search6
Programming languages (2)
Github contributions (5)
freqtrade/freqtrade
Jul 2022 - Jan 2023
Free, open source crypto trading bot
Role in this project:
Back-end Developer
Back-end DeveloperContributions:55 reviews, 96 commits, 13 PRs in 6 months
Contributions summary:Wagner primarily contributed to the back-end functionalities of the crypto trading bot. Their work involved fixing issues related to prediction history loading after bot restarts and refactoring backtesting functionalities within the freqAI module. They also made changes to the data kitchen and interface classes, enhancing the data handling and model integration for improved backtesting. These changes indicate a focus on improving the performance and reliability of the trading bot, specifically related to machine learning components.
telegram-botalgorithmic-tradingpythonfreqtradetrading-bot
wagnercosta/freqtrade
Jul 2022 - Sep 2022
Free, open source crypto trading bot
Contributions:30 pushes, 7 branches in 2 months
bybitmarket-makeralgorithmic-tradingtrading-botbacktesting-trading-strategies
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