- Own the full research project lifecycle from desk idea to production-ready models.
- Develop, train, and improve deep-learning models on market data.
- Manage personal compute infrastructure, including local GPU workstations or AWS instances.
- Implement leakage-proof evaluation protocols on time-ordered data.
- Read, reproduce, and summarize relevant research papers in foundation models, time-series, and RL.
- Use modern AI tools to accelerate code, data wrangling, and literature review workflows.
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