AI and data programs
10 MLOps experts
These ten professionals have held in-house MLOps and machine learning engineering roles, helping put machine learning models into production at the companies they worked for. A reader can learn how companies run MLOps work from the inside.
Professionals to explore
01—10Charaka Wijesuriya
LinkedInExperience: Engineering Manager - MLOps · Sportsbet
Engineering Manager - MLOps at Sportsbet since February 2025 and former Delivery Manager - MLOps there (2022–2025). Former Solution Lead - Data Platforms at Sportsbet (2021–2022). The profile describes this person as specializing in machine learning operations, with a background in deploying and maintaining ML pipelines.
Devinder Kumar
LinkedInExperience: Head - ML Systems & Engineering · TD
Head - ML Systems & Engineering at TD since August 2022 and former Senior Engineering Manager Head of ML Product Engineering & ML Infrastructure at TD (2021–2023). The profile describes this person as specializing in operationalizing ML models in complex production environments and leading a 31 member engineering org of ML, Data, MLOps and Platform engineers.
Diamond Zhang
LinkedInExperience: Director, Machine Learning Engineering and MLOps · Visa
Director, Machine Learning Engineering and MLOps at Visa since June 2024. Former Senior Manager, Data Science & Data Engineering (2022–2024) and Manager, Data Science & Data Engineering (2019–2021) at Visa. The profile describes this person as creating, leading and supervising global cross-functional teams across North America, AP, CEMEA, LAC and Europe.
Gurcan Gercek
LinkedInExperience: Senior Director, Enterprise AI Infrastructure & MLOps · CIBC
Senior Director, Enterprise AI Infrastructure & MLOps at CIBC since February 2025. Former Senior Infrastructure Engineer, Central ML Assets (2024–2025), Infrastructure Engineer, Central ML Assets (2023–2024) and Data Engineer (2022–2023) at Shopify, and former Senior Data Engineer at Sentiance (2021–2022).
Kashif Rizvi
LinkedInExperience: Senior Manager, MLOps · Empower
Senior Manager, MLOps at Empower since July 2026, where the profile says this person leads the MLOps function for Empower Personal Wealth, partnering with data science and AI platform teams, and is responsible for ML deployment. Former Lead, MLOps (2022–2025) and Senior Data Scientist, MLOps (2021–2022) at Holcim.
Mehul Dodia
LinkedInExperience: VP - ML, MLOps · JPMorganChase
Former VP - ML, MLOps at JPMorganChase (2021–2025); the profile mentions ML model implementation and deployment with AWS ML services such as EMR, SageMaker, Lambda and EKS. VP - Applied AI ML Engineering at JPMorganChase since October 2025, and former VP Cloud Engineering there (2017–2021).
Mukul Dev
LinkedInExperience: Associate Engineering Manager (MLOps) · Agoda
Associate Engineering Manager (MLOps) at Agoda since February 2023, where the profile describes this person as the engineering manager of the MLOps team. Former Senior Machine Learning Engineer (MLOps) (2020–2023) and Machine Learning Engineer (Performance Marketing) (2019–2020) at Agoda.
Omar Kahwaji
LinkedInExperience: Director of Machine learning Operations · Forterra
Director of Machine learning Operations at Forterra since April 2026, where the profile says this person leads machine learning operations, building the teams, platforms and operating discipline that move machine learning from research into reliable production. Former Lead Machine Learning Engineer at AbbVie (2024–2026).
Sreedevi Gangarapu
LinkedInExperience: Tech Lead, AI ML Engineering & MLOps · Hyatt
Former Tech Lead, AI ML Engineering & MLOps at Hyatt (2021–2025) and former AI ML Engineer at Fidelity Investments (2021). Principal AI ML Architect at Vanguard since November 2025. The profile says this person leads platform strategy across a Personal Investor portfolio and shapes shared enterprise data and AI capabilities.
Vijay Vammi
LinkedInExperience: Enterprise MLOps Services & Technology Owner · AstraZeneca
Enterprise MLOps Services & Technology Owner at AstraZeneca since January 2022 and former Senior Machine Learning Engineer there (2019–2022). The profile says this person built and led engineering teams that delivered production training and deployment pipelines in AWS and Kubernetes environments using Kubeflow and Argo workflows.
Choose the right perspective
Match the person's role to your question: a hands-on lead suits questions about pipelines, deployment tooling and monitoring, while a director or head of a platform group suits questions about team structure, platform choices and how data science and engineering share ownership. Also ask about the scale and regulatory setting of the models they supported, since models in regulated settings run under different constraints than those behind a consumer app.
Questions to take into the conversation
- 01How did you decide what to build in-house versus buy for your MLOps platform?
- 02How did you monitor models in production, and what triggered a retrain or a rollback?
- 03How did you split responsibilities between data scientists and MLOps engineers, and what friction did that cause?
Reaching MLOps experts
How can I contact one of these MLOps experts?
Pick one of the 10 people on this page and choose "Book a paid call", or describe your project to find others. You offer a fee for a 15-minute call or a written answer, Instant Expert finds the person's work email and sends the invitation, and they decide whether to accept. The list covers 10 companies, including Sportsbet, TD and Visa, based on profile data retrieved on October 4, 2026. Being listed here doesn't mean someone has agreed to take calls.
How much does it cost to reach MLOps experts?
You choose the offer, starting at $5 per person. It includes Instant Expert's 20% fee, so an offer that pays the person $100 costs you $125. You're charged only when the person books the call or sends the answer.
What if they don't reply?
You pay nothing. Instant Expert sends follow-up reminders, and if the person hasn't booked or answered within 7 days, the request expires and any hold on your card is released. You can invite several of the 10 people on this list at once and cap your total spend, so you pay only for the ones who accept.
About this directory
This is a professional research starting point based on business profile data retrieved on . Titles and companies reflect that source snapshot and may describe past or present roles. Check the linked profiles for current details. Inclusion does not imply Instant Expert membership or availability.
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