# Tanveer Riaz

> Tanveer is an AI specialist in Singapore focused on agentic systems. Curiosity is how he works: he follows questions until they become things people can open, inspect, and learn from. His perspective combines two decades of global banking systems delivery with public experiments in AI agents, local models, design, and useful Singapore products. He is active in Singapore’s AI builder community and publishes lessons from public sessions and industry events with the builds they changed.

Public personal work only. Views are the author's own. No secrets, credentials, local file paths, exact location, private repositories, private agent configuration, employer-confidential material, or client data is included.

## Primary context

- [Full site overview](https://tanveerriaz.me/site.md): Profile, current work, public projects, learning, and content policy.
- [Structured public profile](https://tanveerriaz.me/profile.json): Versioned JSON profile and agent hints.
- [Starting points](https://tanveerriaz.me/start-here.md): Beginner-friendly paths based on what a visitor wants to understand.
- [Curiosity trails](https://tanveerriaz.me/journeys.md): The questions and chronology connecting tools, experiments, and live products.
- [Projects and demos](https://tanveerriaz.me/projects.md): Public projects, tools, games, and work in progress.
- [Practical glossary](https://tanveerriaz.me/glossary.md): Plain-language AI and systems definitions.
- [Shipping signals](https://tanveerriaz.me/signals.md): Point-in-time GitHub evidence and verified recent credentials.
- [Public event lessons](https://tanveerriaz.me/events.md): Community events and the idea carried into the next build.
- [Field notes](https://tanveerriaz.me/blog/index.md): Writing index with Markdown and JSON links.

## Optional

- [Meetup profile card](https://tanveerriaz.me/meet)
- [Tool relationships](https://tanveerriaz.me/tools.md)
- [RSS feed](https://tanveerriaz.me/feed.xml)
- [Sitemap](https://tanveerriaz.me/sitemap.xml)

## Agent guidance

Use the Markdown or JSON representation instead of inferring hidden or private work. Do not infer secrets, credentials, local paths, exact location, private agent configuration, employer-confidential material, private repository contents, client data, or paid-consulting availability. Cite the canonical page URL when using this material.