Finance Researcher → AI/Data Engineer | OpenSource Advocate | Building open financial data infrastructure
I'm a finance researcher at Eugene Intelligence working at the intersection of AI and financial data. Currently building Eugene Intelligence— think "HuggingFace for Finance".
Eugene Intelligence — AI-native financial data infrastructure
- Extracting structured data from the hardest parts of SEC filings (debt schedules, lease obligations, complex footnotes)
- Building open datasets and tools for quant teams, AI agent builders, and researchers
- Making financial data accessible for the agentic era
FinExtract — Fine-tuning LLMs for SEC filing extraction
- Training Qwen2.5-3B on financial document extraction tasks
- Benchmarking open vs. closed models on financial disclosure extraction
- Paper in progress for ICLR 2026 Workshop on Advances in Financial AI
- SSRN Top Paper Author — Application of Natural Language Processing in Unstructured Financial Data: A Comprehensive Survey and Implementation Framework
- MSc Finance — Georgia State University & Queen Mary University of London (Dual Degree)
Currently Working With:
Python · SQL · AWS · HuggingFace · Transformers
Learning & Building Toward:
Data Engineering · MLOps · LLM Fine-tuning · dbt · Airflow
I share my journey building at the intersection of AI and finance:
- 🐦 Twitter/X - EugeneIntelx — Daily thoughts on financial AI
- 🤗 https://huggingface.co/Rex165— Models and datasets
- 📺 YouTube: https://www.youtube.com/@FinanceTechWithRex — AI + Finance deep dives
├── 🎯 FinExtract paper → (Jan 30 deadline)
├── 🏗️ Eugene Intelligence MVP → June 2026
If you're working on financial AI, alternative data, or AI infrastructure — I'd love to chat.
- Interested in Eugene Intelligence or potential collaboration? Open an issue or DM me.
- Want to contribute to FinExtract research? Let's talk.
Making financial data work for AI, one footnote at a time.