Rafael Macalaba
AI And Machine Learning Engineer Consultant at The World Bank
Pasay, Philippines
Summary
🤩
Rockstar🎓
Top SchoolRafael Macalaba is an AI and Machine Learning Engineer with eight years of experience building production ML and NLP systems for finance, insurance, startups and international development. Currently consulting at the World Bank, he develops multilingual information extraction tools like GLiNER and fine-tunes LLMs to transform policy and project documents into actionable intelligence. Previously he led AI and infrastructure initiatives across fintech and insurtech—translating prototypes into scalable pipelines and driving cross-functional adoption of GenAI. A Kaggle Competitions Expert and CADS Sunrise Awardee, he couples competition-honed modeling skills with pragmatic engineering. He also contributes to open-source ML tooling, notably extending fastquant with sentiment-driven trading indicators that integrate news scraping and NLTK for real-world strategy testing. Based in Pasay, he blends a finance background with deep NLP expertise to bridge data science research and measurable business impact.
8 years of coding experience
7 years of employment as a software developer
Finance and Treasury Management, Finance and Financial Management Services, Finance and Treasury Management, Finance and Financial Management Services at Pamantasan ng Lungsod ng Maynila
Github Skills (13)
sentiment-analysis10
nltk10
pandas10
nlp10
algotrading10
tradingview10
backtesting10
python10
trading10
data-science10
quantitative-finance10
backtest10
machine-learning9
Programming languages (4)
Github contributions (5)
enzoampil/fastquant
May 2020 - Mar 2021
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
Role in this project:
Data Scientist
Data ScientistContributions:8 reviews, 42 commits, 11 PRs in 9 months
Contributions summary:Rafael contributed significantly to the implementation of a sentiment analysis strategy within the fastquant framework. This involved the integration of a custom indicator using the nltk library for sentiment analysis, specifically scraping financial news from Business Times, processing the text, and using the sentiment scores to inform trading decisions. They also restructured code for testing and addressed issues with plotting custom indicators, demonstrating a focus on extending the platform with new trading strategies and improving code quality.
pythonfinancestocksalgorithmic-tradinglines
rafmacalaba/blog
Jun 2020 - Jan 2022
Rafael Macalaba's fastpages blog
Contributions:7 PRs, 73 pushes, 5 branches in 1 year 7 months
rafaelfastpages
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