AI Data Evaluator & Quantitative Analyst
Verifying the logic behind AI systems — and the numbers behind every decision.
Star works at the intersection of quantitative finance and applied AI — evaluating model reasoning, validating data pipelines, and building toward a future in blockchain infrastructure. Every project starts the same way: trace the chain of logic back to its source, and confirm it holds.
| 001 | Python | Data validation, scripting, and quantitative tooling. |
| 002 | CoT Evaluation | Auditing AI reasoning chains for correctness, bias, and consistency. |
| 003 | Quant Analysis | Financial modeling, statistical judgment, and market data interpretation. |
| 004 | Blockchain Fundamentals | Distributed ledgers and smart contract logic — in progress. |
| 005 | Data Integrity | Sourcing, cleaning, and verifying datasets end-to-end. |
Reviewing model outputs and reasoning chains for accuracy and edge cases — the quiet work behind reliable AI.
Applying statistical and financial reasoning to real datasets, from market data to model performance metrics.
Building toward core blockchain development, with a focus on data integrity across distributed ledgers.
Selected work is being added to this ledger. In the meantime, the full commit history lives on GitHub.