About us
About TorontoAI
TorontoAI is a vibrant, inclusive community of engineers, builders, founders, and curious minds passionate about making AI infrastructure more accessible, human-centered, and scalable.
We host bi-weekly in-person socials, tech meetups, and hands-on webinars to connect people across disciplines — from DevOps to Data Science, from students to senior architects. Whether you're deploying LLMs in production or just exploring what Databricks does, you're welcome here.
🤝 We’re Building More Than a Meetup
In a world dominated by virtual everything, we believe in real, human-to-human connection.
TorontoAI is a space to:
- Share ideas over coffee
- Spark collaborations face-to-face
- Meet people who understand your stack and your journey
- Build your network beyond LinkedIn likes
💬 What We Talk About:
- Scalable AI & LLM infrastructure (Kubernetes, GPUs, vLLM, Ollama, LangChain)
- Databricks, Snowflake, Fivetran, dbt — building the modern data stack
- MLOps, LLMOps, DevOps — the operational glue of AI systems
- Real-world engineering stories, founder spotlights, and tool breakdowns
🌈 Who We Welcome:
- DevOps, SREs & Platform Engineers moving into data/AI
- Data Engineers, Analysts & ML practitioners
- Founders, freelancers, and technologists in transition
- Students and early-career professionals seeking real-world exposure
We’re committed to creating a welcoming, diverse, and equity-focused space where all voices matter — no gatekeeping, no rockstars, just good humans building cool stuff.
📍 Based in Toronto, open to the world
📅 Join an event — and be part of something human, helpful, and hands-on.
Upcoming events
2
Text-to-SQL on Databricks Without the Genie Model Bill
·OnlineOnlineRegister: becloudready.com/webinar/db-agent
Description:
Asking your data questions in plain English is now built into every platform. The part nobody demos is the bill. Every question is a metered LLM call, and Genie's free period for users ends January 31, 2027.
In this session I'll run db-agent, an open-source text-to-SQL agent, against a Databricks SQL warehouse. The LLM runs locally through Ollama. No API key, no tokens billed, and no schema or data sent to an outside model.
What you'll see live:- db-agent answering business questions on Databricks
- A local model doing the SQL generation
- The SELECT-only layer blocking a destructive query
- Where a local model gets it right, and where it still writes the wrong SQL
Who it's for: data engineers, analytics engineers, platform engineers and data team leads deciding how to put AI in front of their warehouse.
Speaker: Chandan Kumar, founder of BeCloudReady, Databricks Partner, creator of db-agent (AAAI-25 workshop).
60 attendees
Past events
287
