Building intelligent systems for quantitative finance, data engineering and AI-driven products.
I work at the intersection of:
- Artificial Intelligence
- Quantitative Finance
- Data Engineering
- MLOps
- Crypto Research
Currently focused on building scalable AI systems, quantitative pipelines and data-driven products.
I have experience with:
- Machine Learning & Deep Learning
- Financial Data Pipelines
- ETL & Distributed Processing
- AI Agents & Automation
- Quantitative Trading Research
- Python Backend Engineering
- Cloud & MLOps ecosystems
- Building quantitative finance systems
- Developing AI-powered workflows
- Researching crypto market behavior
- Studying scalable ML infrastructure
- Creating automated data pipelines
End-to-end quantitative research environment with:
- OHLCV extraction
- ETL pipelines
- Technical indicators
- Portfolio analytics
- Market research automation
AI-driven systems for:
- Content transformation
- Automation pipelines
- Intelligent agents
- Operational workflows
Research and experimentation involving:
- On-chain analytics
- Quantitative indicators
- Market behavior analysis
- Signal generation
Build systems. Automate intelligently. Think probabilistically. Stay antifragile.
- LinkedIn: https://linkedin.com/in/santannajp-ai/
- GitHub: https://github.com/santannajp


