I'm Rafael, a Data Scientist and AI Engineer specializing in scalable data systems, forecasting, NLP, and applied machine learning. I design end-to-end data and AI solutions, from high-performance pipelines to production-ready LLM and RAG applications.
My experience spans hedge-fund macro research, real-time data platforms, credit risk systems, and evaluation frameworks for time-series forecasting models. I am completing the MIT Statistics and Data Science MicroMasters and previously studied Economics at FGV-EPGE.
I work across the full stack of data science and engineering: modeling, infrastructure, APIs, MLOps, LLM systems, and quantitative analysis.
- Python, R, SQL, MongoDB
- Airflow, AWS, GCP, Kubernetes, FastAPI, Polars
- Machine Learning, NLP, LLMs, RAG architectures, Econometrics
- Tableau, Plotly, Matplotlib
- GitHub (CI/CD), Linux, Docker
- English
- Portuguese
- Spanish
- Quantitative macro modeling, CPI forecasting systems, and NLP pipelines for monetary policy at a global hedge fund (5+ Billion USD AUM)
- Large-scale ETL/ELT redesign, reducing infrastructure cost by half
- High-performance simulation API for credit risk using FastAPI and Polars
- Production RAG system for legal document interpretation using LangChain
- Evaluation frameworks and simulation environments for advanced time-series forecasting models (including LLM-based forecasters)
See public projects in this profile, including micro-services, LLM tools, and ML pipelines.
- 2023: Machine Learning using TensorFlow (USP)
- 2020: Quantitative Finance with Statistical Analysis of Financial Data in R (FGV)
- 2019: Fundamentals of Marketing Analytics with Machine Learning (FGV)
- 2018: Python project using PCA, K-means, DBSCAN for security analysis (FGV)
- Big Data Hackathon (XP Inc. & Microsoft Azure, 2021): built a big data pipeline and analysis workflow on Azure using >14GB of raw data
- Cryptocurrency Datathon (FGV & Ripple, 2020): second place for ML-driven crypto trading and NLP-based market signal extraction Video presentation: https://youtu.be/_aCNF3jHSss?t=671 Repository: https://github.com/kojabawa/pirates
Let's keep in touch! visit my LinkedIn profile: https://www.linkedin.com/in/rkovashikawa/