# Data Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/data
> Markdown URL: https://aitinkerers.org/technologies/data.md
> Technology record last updated: 2026-02-25T05:31:33Z
> Generated: 2026-09-20T21:48:05Z

A privacy-centric architecture combining SQLite for relational notebook storage and FAISS for high-performance: on-device vector indexing.

This stack prioritizes data sovereignty by running all operations on local hardware. SQLite manages the relational schema for notes and metadata (maintaining strict ACID compliance) while FAISS handles similarity searches across high-dimensional embeddings. The setup delivers sub-10ms query speeds and full offline capability. It is the definitive choice for building secure: personal AI knowledge bases where speed and privacy are the primary requirements.

- Official technology site: https://faiss.ai
- Public AI Tinkerers demos and talks: 8
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Don’t Just Build an App: Build a Playground - Designing flexible, high-growth ecosystems that scale seamlessly.](https://orange-county.aitinkerers.org/talks/rsvp_FR1uOvCMPCI)

Oddjob lets you spin up teams of AI agents that plan and execute multi-step work as missions, cycles, and pipelines — extracting knowledge, running research, generating documents and datasets, and completing tasks end to end. It can build and deploy working software and mini-apps on demand through App Forge, stand up org and team structures through Org Forge, and turn a document template into a live form agent that captures a structured schema automatically. It grounds every agent in your own data with retrieval-augmented generation, a knowledge graph, and reusable templates, and routes work through configurable LLM providers with automatic failover to a local model when a provider is unavailable.

- Event context: AI Tinkerers Orange County: Tuesday, July 21, 2026 at Centercode — 2026-07-22 — Orange County
- Public talk page: https://orange-county.aitinkerers.org/talks/rsvp_FR1uOvCMPCI

### [Your Webcam Knows the Geometry - Real-Time Relighting & Single-Shot Novel Views](https://lausanne.aitinkerers.org/talks/rsvp_cMMuinG2WV4)

Two single-view inverse-rendering systems that reconstruct scene geometry from one camera and re-render it under conditions never captured — one changes the light, the other changes the viewpoint, both fast enough to ship. The Relighting part decomposes a live webcam frame into geometry + material (normals/albedo/shading) and re-renders it under any lighting in real time (~24 FPS), showcasing a variety of lighting conditions (multiple colored lights, orbiting and rainbow-rotating lights) The Novel View Synthesis builds a 3D representation of the scene using Gaussian Splatting and renders it from a different angle. It currently runs at 5 FPS but we are hoping to get closer to real time soon.

- Event context: AI Tinkerers Lausanne June 2026 Meetup — 2026-06-25 — Lausanne
- Public talk page: https://lausanne.aitinkerers.org/talks/rsvp_cMMuinG2WV4

### [Can AI Hear a Crisis? Building a Real-Time 911 Audio Classification Pipeline on Azure](https://doha.aitinkerers.org/talks/rsvp_TSXbqExBe48)

We built an end-to-end cloud-native AI system on Azure that classifies 911 emergency calls into medical, fire, or violence categories using the first 30 seconds of audio. The project combines audio feature engineering, MLOps workflows, and automated retraining pipelines to support dispatcher decision-making with probabilistic confidence scores. During the demo, I’ll walk through the full architecture: Azure Data Lake Medallion design, Databricks ETL pipeline, Voice Activity Detection preprocessing, MFCC feature extraction, Azure ML training pipelines, GitHub-triggered CI/CD workflows, automated retraining, model registration, and the live deployed endpoint workflow.

- Event context: AI Tinkerers – Doha Inaugural Meetup — 2026-05-18 — Doha
- Public talk page: https://doha.aitinkerers.org/talks/rsvp_TSXbqExBe48

### [From Cold Email to Trusted Conversation: How AI Agents Turn Outreach into Revenue](https://seattle.aitinkerers.org/talks/rsvp_Z5K4dyJQ7rE)

This talk covers the architecture of an AI-driven outbound system designed to create highly personalized B2B outreach at scale. I will walk through the design of two agent systems — IRIS, a hyper-personalized email generation engine, and Hermes, a social-channel warming system that leverages the psychological mere exposure effect to increase response rates. IRIS uses Firecrawl to extract structured information from target company websites, Perplexity for real-time research enrichment, and an LLM pipeline that synthesizes this context into personalized outreach messages rendered through React Email templates. The result is emails that read as if they were written by a human founder after researching the company. Hermes operates as a GUI-driven agent that manages warm-up sequences on social platforms, creating lightweight touchpoints before direct outreach. Together, these agents form a two-channel system designed to increase outbound effectiveness in trust-sensitive industries like healthcare. I will walk through the system architecture, data flow, and agent orchestration, including how contextual data is collected, synthesized, and translated into human-like messaging. I will also share early performance results showing how research-driven outreach can significantly outperform traditional cold email strategies.

- Event context: AI Tinkerers Seattle: GTM Track — March — 2026-03-26 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_Z5K4dyJQ7rE

### [Bead Manager](https://boston.aitinkerers.org/talks/rsvp_CMfZIqIUI5k)

Bead Manager is a proof-of-concept web-based user interface for Steve Yegge's Beads project and GasTown agent orchestration system. Bead Managers goals are to: 1. Provide non-technical stakeholders visibility into work-in-progress 2. Provide all users better high-level visibility across the the work 3. Enable stakeholders to provide strategic direction through the web interface 4. Surface and visualize Beads concepts like molecules, bonds, protos, and formulas

- Event context: {Cancelled due to Blizzard Warning } AI Tinkerers Boston: February 2026 Meetup — 2026-02-23 — Boston
- Public talk page: https://boston.aitinkerers.org/talks/rsvp_CMfZIqIUI5k

### [From Image to Structured Data: Building a Local AI Document OCR Platform for Administrative Workflows](https://tokyo.aitinkerers.org/talks/rsvp_Vs-o12h3f_U)

Administrative and compliance-heavy professions still rely heavily on paper and scanned documents. However, sending sensitive documents to cloud OCR or AI services is often not acceptable due to privacy, regulatory, or client confidentiality requirements. In this talk, I will present a professional web-based OCR processing platform designed for secure, local-first document handling — with a focus on real-world administrative document workflows such as those handled by 行政書士 professionals.

- Event context: AI Tinkerers Tokyo - Toranomon Meetup - February 19, 2026 — 2026-02-19 — Tokyo
- Public talk page: https://tokyo.aitinkerers.org/talks/rsvp_Vs-o12h3f_U

### [Inside Compar:IA — Exploring the dataset of 150K conversations & 100K preferences from a French chatbot arena](https://paris.aitinkerers.org/talks/rsvp_y_1dVOVk9nM)

At the French Ministry of Culture, we’ve built Compar:IA - a chatbot arena in the spirit of LMSYS, designed to benchmark and compare large language models in French through live user interactions. Over the past months, we’ve gathered 150,000+ lines of conversations and 100,000+ user preferences across models. This data is now publicly available on Hugging Face, and will soon be published on data.gouv.fr. In this demo, we’ll open up the hood of this dataset and see how it could be used for post-training.

- Event context: AI Tinkerers - Paris Meetup on June 26th - Google Cloud AI — 2025-06-26 — Paris
- Public talk page: https://paris.aitinkerers.org/talks/rsvp_y_1dVOVk9nM

### [Exploring Singapore's Open Data to find Market Trends Using LLMs: Insights from Data.Gov.SG and a Case Study of Pandemic Impacts](https://singapore.aitinkerers.org/talks/rsvp__2Zu-1FEZzU)

Analyze the Job Vacancy dataset to explore job market changes from 2020 to 2024 using LLMs, Python and Colab. learn how you can use Colab to tinker with various LLM models and gen ai services like Google Gemini and other LLMs from huggingface. Key Takeaways: Pandemic Impact: The Covid-19 pandemic significantly affected job markets, with notable spikes in Community and Social Services and varied impacts across other sectors. Data Insights: Combining job data with Covid trends highlights how different industries were influenced. I used Python and Colab for this analysis and shared my findings in a Colab notebook. Dive in, explore, and see what insights you can uncover! Let’s discuss how open data can drive valuable insights.

- Event context: AI Tinkerers Singapore: Inaugural Meetup - August 2nd, 2024 — 2024-08-02 — Singapore
- Public talk page: https://singapore.aitinkerers.org/talks/rsvp__2Zu-1FEZzU

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