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

Graham Toppin

Co-Founder, Peerlabs

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.

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

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

Faraz Thambi

Head of Global Partnerships & Community

Valeria Salazar

Marketing Coordinator

Allaine Gamaro

Website Designer

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

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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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