# Angular Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/angular
> Markdown URL: https://aitinkerers.org/technologies/angular.md
> Technology record last updated: 2026-02-23T23:06:30Z
> Generated: 2026-08-24T21:46:59Z

Angular is a TypeScript-based, component-driven framework for building scalable, enterprise-grade single-page applications (SPAs).

Angular (developed by Google) is a comprehensive, open-source platform for building performant single-page applications (SPAs) using TypeScript . The framework enforces a robust component-based architecture, promoting modularity and code reusability . It ships with a complete toolset, including the powerful Angular CLI for project generation and task automation, plus first-party libraries for routing, forms, and client-server communication . Key features like two-way data binding and built-in dependency injection streamline development, ensuring applications scale reliably from small projects to large-scale enterprise systems .

- Official technology site: https://angular.dev
- Public AI Tinkerers demos and talks: 6
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Ai in Human Resource](https://bremen.aitinkerers.org/talks/rsvp_M5plVNmMjOw)

An HRMS software where I am using an LLM for context-based answers.

- Event context: AI Tinkerers Bremen — 2026-03-25 — Bremen
- Public talk page: https://bremen.aitinkerers.org/talks/rsvp_M5plVNmMjOw

### [Encrypted Inferences: A 5‑Minute FHE with FHE‑Studio and FHE Model Marketplace](https://toronto.aitinkerers.org/talks/rsvp_tT7xsSECN2Y)

I’ll present https://fhe-studio.com/, an open-source development environment designed to make encrypted data structures, algorithms, and AI workflows practical for real-world use. We will go through coding in cipher patterns I published at: https://towardsdatascience.com/coding-in-cipher-encrypted-data-structures-and-algorithms-dd99e584a655/ The session will include a live demonstration of building and running computations directly on encrypted data, followed by an overview of an AI Marketplace https://aimarketplace.01com.com/ that enables publishing FHE-based models and running encrypted inference without exposing plaintext data to model owners, infrastructure providers, or operators

- Event context: AI Tinkerers Toronto - January 2026 Meetup at Google! — 2026-01-29 — Toronto
- Public talk page: https://toronto.aitinkerers.org/talks/rsvp_tT7xsSECN2Y

### [From a quick prototype to a continuously learning production system: Composable agents for enterprise workflows](https://seattle.aitinkerers.org/talks/rsvp_PEpbFyNMHMg)

I'll walk through both my process -- of collaboratively prototyping AI Agents with domain experts and then building a working application by composing those agents into an agentic system with guardrails, logging, etc. Most importantly, feedback is captured to allow continuous learning.

- Event context: Summer on the Lake - August Tinkerers Meetup! (Demos, Food, Friends) — 2025-08-28 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_PEpbFyNMHMg

### [Signal from the Noise: Using Gemini AI to find great Jazz](https://boston.aitinkerers.org/talks/rsvp_nsMQhi8qh4Q)

Jazz Signal uses AI combined with human curators to find great jazz to listen to. We crawl a curated set of Jazz Blogs and review sites, and use Gemini APIs to discover the artists and music mentioned in the articles. A web app provides a way to browse the reviews and articles while listening to the music. We also use AI to summarize the articles and categorize them with short, evocative tags to prevent information overload. We will provide a walkthrough of a live site demonstrating the results, followed by a code walkthrough of our nodejs-based Gemini api usage. In particular we discuss prompt construction, Gemini Flash 2.5 schema configuration, and api calls. We will show how we use Gemini to extract structured data from highly unstructured jazz blogs and review sites. In particular, we describe how we specify the structured data we wish to extract and discuss how Gemini performs on these tasks. We'll also demonstrate how we map our findings to music databases (e.g., Spotify, YouTube, etc.), allowing for a heterogeneous listening environment.

- Event context: AI Tinkerers July Meetup @ Tech Superpowers — 2025-07-28 — Boston
- Public talk page: https://boston.aitinkerers.org/talks/rsvp_nsMQhi8qh4Q

### [Five minutes to get ready](https://seattle.aitinkerers.org/talks/rsvp_k58U4mb4yt0)

You’re fast asleep in the fire station when tones go off. You sleepily rush into the aid car and prepare for a pediatric emergency, a girl having trouble breathing. You have five minutes before your crew arrives on-scene. Get ready to know relevant pediatric stats, the pediatric assessment triangle and ALS upgrade criteria. That’s a lot to remember, even for a seasoned firefighter/EMT. Could AI help? You bet it could! I’ll show you how the app was built and integrates with OpenAI’s agent model as well as Supabase so that trained EMS personnel can review and grade past AI “answers” in an effort to deliver robust, reliable information.

- Event context: AI Tinkerers Seattle – June Meetup — 2025-06-28 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_k58U4mb4yt0

### [Building your AI app with Cloudflare Pages & Worker AI](https://toronto.aitinkerers.org/talks/rsvp_lBPJIs0tEzE)

Cloudflare is a option to start exploring various AI implementation based on their model. You can improve the speed to the endusers with their infrastructure. They also have free tier which is great to start with. In this demo, I can share the architecture on how to build an AI application utilizing Github, Angular (or any other framework), Cloudflare Pages and Worker AI.

- Event context: AI Tinkerers Toronto - Inaugural Meetup — 2024-04-11 — Toronto
- Public talk page: https://toronto.aitinkerers.org/talks/rsvp_lBPJIs0tEzE

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