AI Tinkerers - Toronto
November 2025 Meetup | Hosted at Shopify
Nov
10
Monday
5PM to 9PM EDT
Main Stage Speakers
SAM SHAHSAVANI
SAM SHAHSAVANI
Co-founder at ZoningPal
Building a Real-Time Municipal Data Parser: How We Normalized 30 Years of Toronto Zoning By-Laws with AI
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Solving PDF hell and conflicting regulatory data using AI.
Addy Bhatia
Addy Bhatia
SWE at Lazer Technologies
AI agents to create 3D models from scratch
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How AI agents generate 3D models using Blender code.
Ben Dryden
Ben Dryden
CEO at ZeroDraft AI Inc.
Distilling Chaos: Practical RAG Systems for Real-World Decision Workflows
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Practical RAG architecture, scaling, hybrid search, and feedback loops.
Zayyan Ahmed
Zayyan Ahmed
Senior Data Product Manager / Founder at Enable / PsyAI
Predicting Human Decisions in Agentic Workflows
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Predicting human decisions in agents to lower reviewer load.
Science Fair Presenters
Dev Shah
Dev Shah
Student at University of Toronto
Beyond “It Feels Better”: A Reproducible Playbook for Evaluating Fine-Tuned LLMs
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Rigorous LLM evaluation playbook using synthetic data and constant benchmarks.
Jessica Tang
Jessica Tang
Undergraduate Student at University of Toronto
This Is So You! – An Event Recommendation Newsletter
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Implementing vector search, embeddings, and LLMs for recommendation systems.
Mehtab Cheema
Mehtab Cheema
Student at University of Toronto
Benchmarking LLMs for project-level code assistance.
Richard Wei
Richard Wei
university student at University of Toronto
AI-Guided RISC-V Datapath Visualization
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AI-guided RISC-V datapath visualization using context-aware RAG.
Ronaldo Luo
Ronaldo Luo
Undergraduate student at University of Toronto
This Is So You! – An Event Recommendation Newsletter
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Building recommendation systems with embeddings and vector similarity search.
Ginny Guo
Ginny Guo
Engineering Science Student (major in Machine Intelligence) at University of Toronto
This Is So You! – An Event Recommendation Newsletter
View project page Speaker details and project links
Building real-world recommendation engines with vector search and LLMs.
Jaskirat Singh
Jaskirat Singh
Student at Queens University
On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance
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Quantization and Early Exit optimize Edge AI latency and accuracy.
Victoria Wu
Victoria Wu
Student at University of Toronto
AI interprets terminal activity for transparent, educational documentation.
Haneesh Raj Banisetti
Haneesh Raj Banisetti
Ai Engineer at Northeastern University
How to build multi-agent systems for competitive intelligence.