# Nick Tran

> Engineer building data platforms and the infrastructure AI agents run on. Currently working on data at a wealth management startup in New York.

Focus: Data platforms, AI agent infrastructure. Contact: nick.tran@nyu.edu. Profiles: https://www.linkedin.com/in/nicktran-1/, https://github.com/trannolis.
Every page has a markdown version at the same URL plus `.md`. Full text: /llms-full.txt

## Pages
- [About](https://trannolis.com/about.md): background, experience, education

## Work
- [AI over governed enterprise data](https://trannolis.com/work/ai-over-governed-data.md): The Baldwin Group, 2024–2026. MCP servers and a Databricks Genie semantic layer over governed data, with access control and audit owned by engineering.
- [Data Lake buildout on AWS using Databricks](https://trannolis.com/work/data-lake-buildout.md): The Baldwin Group, 2022–2026. Dev, Stage and Prod Databricks workspaces on AWS with Unity Catalog RBAC, federated sources, Lakebase apps and shared AI coding standards for the team.
- [Pine Peak research platform](https://trannolis.com/work/pine-peak.md): Independent, 2025–2026. A financial data and research platform with audit trails, reproducible research and human approval on consequential actions.
- [Real-time market data streaming](https://trannolis.com/work/market-data-streaming.md): United Wholesale Mortgage, 2022. A Spark Structured Streaming pipeline for near-real-time hedging exposure on an MBS trading desk.
- [Unstructured document automation](https://trannolis.com/work/document-automation.md): The Baldwin Group, 2026. Databricks pipelines that select, retrieve and deliver unstructured policy documents by metadata.

## Writing
- [When Green Checks Lie](https://trannolis.com/when-green-checks-lie.md): 2026-08-29. How to make AI-agent health checks prove useful, authorized outcomes instead of mere activity.
- [Can We Predict Fake News?](https://trannolis.com/can-we-predict-fake-news.md): 2021-05-31. TLDR: No, not with the dataset that was used :( If you need a quick brush up on machine learning, you can learn more here: Machine Learning Post Introduction…
- [Machine Learning](https://trannolis.com/machine-learning.md): 2021-05-30. Definition Machine Learning (ML) is a field of computer science that gives computers the ability to learn without being explicitly programmed (Wikipedia). Tom…