A community built for the people putting AI into practice

INTERESTED IN VOLUNTEERING AT TMLS? SEE MORE INFO BELOW

Who We Are

Started in 2016, TMLS is the largest Canadian in-person community for machine learning researchers, practitioners, and executives. The summit and broader community were built to help people compare progress, share what is working, and stay grounded in practical lessons from the Canadian AI ecosystem.

TMLS centres around applied AI, AI infrastructure, and enterprise adoption. Across our flagship summit, community initiatives, workshops, roundtables, and year-round programming, we bring together researchers, builders, and leaders working to turn ideas into real-world outcomes.

In a field moving this quickly, context matters. TMLS exists to help the community find it, through useful conversations, strong local connections, and shared learning across research, industry, and the public sector.

TMLS partner initiatives support:

Education & career development

Business and partnership opportunities

Community-building across the Canadian AI ecosystem

Hiring and talent connections

Diversity and inclusion

Our People

Conference Co-Chairs

TMLS is guided by leaders from across the Canadian AI and machine learning ecosystem. Our co-chairs help anchor the summit each year, bringing perspective from research, industry, and applied machine learning leadership.

David Scharbach

Executive Director, TMLS
Organizer, TMLS Summit
Organizer, MLOps World

Suhas Pai

Co-founder & CTO, Hudson Labs
NLP Researcher
Author

Denys Linkov

Head of ML, Wisedocs
ML Lecturer, University of Toronto

Committee Members & Track Leads

The TMLS committee is made up of practitioners, researchers, and leaders who help shape the summit each year. Their input helps keep the program relevant, credible, and connected to what teams are actually working through in practice.

  • Afsoon Soudi, Toronto Metropolitan University, Assistant Professor
  • Ahmed Nasir , GreenShield, Strategy and Execution Lead
  • Akshata Kishore Moharir, Microsoft , Principal Data scientist
  • Alex Shpurov, ArtiFirm Inc, Founder
  • Ali Waheed, Telus, Machine Learning Engineer
  • Alireza Darbehani, Clio, ML Platform Engineer
  • Ankur Bhargava, IBM, Data Scientist
  • Anupama Garani, PIMCO, Vice President
  • Areeb Khawaja, TELUS, AI Technical Product Manager
  • Arup Saha, RBC, Senior Director TCJ – Generative AI
  • Ashkan Amiri, Commonwealth Bank of Australia , Distinguished AI Scientist
  • Asif Ahmed, Mastercard, Product Manager – Technical, AI & Data Ops
  • Atri Mahapatra, Neoloka Ai , CEO & Founder
  • Bhaskarjit Sarmah, Domyn, Head of AI Research for Financial Services
  • Can Kavaklioglu, GrainFox Corp, Director of Machine Learning
  • Chris Alexiuk , AI Makerspace, Co-Founder & CTO
  • Deepak Dasaratha Rao, IEEE , Consultant
  • Dippu Kumar Singh, Fujitsu North America Inc., Leader Of Emerging Data Technologies
  • Divanshu Mittal , Cardinal Health , Data Analytics Manager
  • Ezequiel, Intel, AI OpenSource Evangelist
  • Erin Li, CIBC, Director, Applied AI Research
  • Farhad Sadeghlo, Self-Employed, Lead Machine Learning Engineer
  • Geoffrey Hunter , Curinos , Staff Data Scientist
  • Gowdhaman Sadhasivam, Labelbees AI, CTO
  • Hannah Arjmand, Chubb, Senior AI Engineer
  • Hannes Max Hapke, Dataiku, Inc., Head of Dataiku Open Source Lab
  • Helena Yu, EnStream , Head of Data and AI
  • Herman Ng, Capgemini, Chief Architect
  • Himanshu Josh, University of Texas, Austin / COHUMAIN Labs, AI Researcher/ CEO
  • Homa, ModiFace, Head of AI
  • Hoora fakhrmoosavy, Hydro One, Director Data & AI
  • Imran, Sheriff, Ai and Automation Architect
  • Indrani, Index exchange , Director, Data and ML
  • Iryna Skrypnyk, Ipsen, GenAI Principal Scientist, Consultant
  • Israel Igietsemhe, KetteQ, Lead Data Scientist
  • Javier Diaz-Mejia, DNAstack, Senior Bioinformatics Analyst
  • Jesse Cresswell, Layer 6 AI at TD, Staff ML Scientist
  • Jessie Lamontagne, Wealthsimple , Senior manager, data science
  • Junwei Huang, Mastercard , Principal AI Engineer
  • Karthik Dulam, Snowflake, Sr Machine Learning Architect
  • Karthik Kuber, Yelp, Engineering Manager
  • Kritika Nayyar, Loblaw Companies Limited, Manager, Business Insights & Analytics
  • Kumaran Ponnambalam, Cisco Systems Inc, Principal ML Engineer
  • Mario Lazo, Evergreen, Principal Solution Architect, Data and AI
  • meharban, sheridan, professor
  • Mehdi Saeedi, AMD, Principal Staff
  • Michael Gehmeyr, SFM Predictions, Principal
  • Michael Wharton, KUNGFU.AI, VP of Engineering
  • Mustafa Alghali , Amplifai Health, Co-founder & CTO
  • Myles Harrison, PRAKTIKAI, Company Principal
  • Nadia, Rauch, AVP AI Engineering & Principal AI Engineer
  • Nalin Dadhich, NVIDIA, Senior Machine Learning Engineer
  • Natasha Ho, Sony Interactive Entertainment , MLOps software developer
  • Nausheen Fatma, ZS Consulting, Senior AI Developer
  • Navita Singh, Autodesk Research, Principal Data Scientist
  • Nicky Bayat, Chubb Insurance, Senior GenAI Engineer
  • Nik Kale, Cisco Systems, Principal Engineer
  • Nikita Medvedev, Coca-Cola Canada, Director of Advanced Analytics
  • Pavan Vemuri, SDVerse, Director of Product Engineering
  • Piyush Tiwari, Wayfair, Senior Engineering Manager
  • Prakash Murugesan, Meta, Sr. Machine Learning Engineer
  • Pratik Sheth, Google, Technical Lead, Software Applications
  • Preetham Kaukuntla, Glassdoor, Staff Data Scientist
  • Pushkar Garg, Salesforce, Lead Member of Technical Staff
  • Ram Kumar Nimmakayala, WGU, Principal Product Manager, AI/ML & Data
  • Rekha Chandrasekaran, Jarvis Consulting Group, Senior AI Consultant
  • Riccardo Di Sipio, Dayforce HCM, Senior ML/AI developer
  • Sandeep Singh, Bain & Company , Expert Senior Director
  • Sandra Lopez-Zamora, Scotiabank, Senior Manager, Data Strategy & Risk Technology
  • Saurabh Shrikrishna Marathe, Soraban, Senior AI/ML Software Engineer
  • Shahid Amlani, Prudential, VP, Finance Expense Product Owner – Consulting, BI & Analytics
  • Shariyar Murtaza, Manulife , AVP AI
  • Sharon Shahrokhi Tehrani, CBC, Product Manager
  • Sharvari , Part3 Technologies , AI Engineer
  • Shubham Barhate, Pinterest, Machine Learning Engineer
  • Somayeh (Sima) Alizadeh, Xe.com, Director of data science
  • Sree Saranya Kumari Penmatcha, Just Say Hey, Full Stack AI Engineer
  • Sri Chakra Kumar, InfraVis, Software / Image Processing Engineer
  • Stewart Hayes, Stealth, Account Executive
  • Subash Gandyer, Gandyer Consulting, Director
  • Talesh Seeparsan, Bit79, CEO
  • Tejas Chopra, Netflix, Sr. Engineer
  • Utkarsh Mittal, Gap, Sr Machine Learning Manager
  • Vino Sangaralingam, Mastercard, Lead Data Scientist
  • Yogiraj Awati, Instacart, Engineering Manager
  • Yuxi Li, DeAI Institute, Co-founder
  • Zahra Shekarchi, Thomson Reuters, Lead Research Engineer

TMLS Team

TMLS is organized by a small team focused on building high-value experiences for the Canadian AI community. From summit programming and partnerships to operations and community engagement, the team works year-round to support learning, connection, and practical progress across the ecosystem.

David Scharbach

Chief Executive Director | Founder

Tina Aprile

Head of Operations

Visit Tina’s LinkedIn

Faraz Thambi

Head of Global Partnerships & Community

Visit Faraz’ LinkedIn

Valeria Salazar

Marketing Coordinator

Visit Valeria’s LinkedIn

Allaine Gamaro

Website Designer

Visit Allaine’s LinkedIn

Who Attends

Audience Snapshot

A highly relevant audience of practitioners, researchers, and AI leaders.

The audience is deeply technical and comes ready to learn, evaluate solutions, and engage. TMLS attracts people working directly with ML and AI systems, along with leaders responsible for adoption, strategy, and execution.

500+

Total Attendees

95%

Active ML/AI Professionals

24%

Actively Looking 
for Solutions

80%

Technical Practitioners Working Directly with ML/AI Systems

Companies That Attend

TMLS draws teams from technology and telecommunications, financial services, healthcare and biotech, retail and CPG, government, and the public sector. Past attendees include organizations such as CIBC, TELUS, RBC, TD Bank, BMO, IBM, Google, Wealthsimple, AMD, UHN, and many more.

Interested in volunteering?

Want to help shape the TMLS Summit? Join the call for volunteers and be part of the team supporting one of Canada’s most practitioner-driven AI communities.

Who Attends

Attendees
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Data Practitioners
0 %
Researchers/Academics
0 %
Business Leaders
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2023 Event Demographics

Technical practitioners working directly with ML/AI systems
0 %
Currently Working in Industry*
0 %
Attendees Looking for Solutions
0 %
Currently Hiring
0 %
Attendees Actively Job-Searching
0 %

2023 Technical Background

Expert/Researcher
14%
Advanced
37%
Intermediate
28%
Beginner
7%

2023 Attendees & Thought Leadership

Attendees
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Speakers
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Company Sponsors
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Business Leaders: C-Level Executives, Project Managers, and Product Owners will get to explore best practices, methodologies, principles, and practices for achieving ROI.

Engineers, Researchers, Data Practitioners: Will get a better understanding of the challenges, solutions, and ideas being offered via breakouts & workshops on Natural Language Processing, Neural Nets, Reinforcement Learning, Generative Adversarial Networks (GANs), Evolution Strategies, AutoML, and more.

Job Seekers: Will have the opportunity to network virtually and meet over 30+ Top Al Companies.

Ignite what is an Ignite Talk?

Ignite is an innovative and fast-paced style used to deliver a concise presentation.

During an Ignite Talk, presenters discuss their research using 20 image-centric slides which automatically advance every 15 seconds.

The result is a fun and engaging five-minute presentation.

You can see all our speakers and full agenda here

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