Backend engineer with 8 years at Visa building high-availability, security-sensitive systems (EMV 3-D Secure). Flatiron AI/ML Engineering graduate with capstones in fraud detection and transformer summarization, focused on rigorous evaluation and explainability. Seeking backend + production applied ML roles.
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Ethereum Fraud Detection Pipeline — Address-level fraud/scam classification with time-aware validation, feature engineering, and explainability.
https://github.com/LittleHouse75/ml-capstone-ethereum-fraud-detection/blob/main/notebooks/00_Overview.ipynb -
Dialogue Summarization (NLP / LLMs) — Benchmarks transformer approaches for summarizing noisy chat logs, comparing architectures and evaluation tradeoffs.
https://github.com/LittleHouse75/ml-capstone-summarization-models/blob/main/notebooks/00_introduction.ipynb
- GitHub: https://github.com/LittleHouse75
- LinkedIn: https://www.linkedin.com/in/tim-nevits/