Behind the Model: The Live MLOps Experience

The MLAI Meetup is a community for AI researchers and professionals which hosts monthly talks on exciting research. Our format is:

• 6:00 - 6:20: Socializing
• 6:20 - 6:40: Announcements and AI news
• 6:40 - 7:40: Talk(s) and Q&A
• 7:40 - 8:00 Networking
• 8:00: Head to the nearest pub for dinner

Aman Sabir and Arvind Singh: “Behind the Model: The Live MLOps Experience”

Talk description:
Join us for a deep dive into how real-world machine learning is built, deployed, and governed—live and in action.
We’ll start with a no-fluff walkthrough of the end-to-end ML lifecycle:
Framing a business problem as an ML use case
Data prep and feature engineering
Model training and evaluation
Deployment pipelines
Monitoring for drift, bias, and performance
Governance and security best practices
Then we’ll switch gears into live execution—where we take a working ML model and run it through a full MLOps pipeline, right in front of you. Expect to see how automation, tooling, and process come together to make machine learning production-ready.
This isn’t just another talk—it’s an inside look at what it takes to run AI at scale, reliably and responsibly.

Amand Sabir bio:
As a seasoned AI & Data Practice Lead, I help organizations harness the power of artificial intelligence to drive business growth, improve operational efficiency, and enhance customer experiences.
With over 10 years of experience in designing, developing, and deploying distributed solutions, I've developed a passion for staying at the forefront of AI innovation and leveraging my expertise to drive business value.
My expertise spans machine learning, natural language processing, and cloud-based AI platforms. I've had the privilege of working with numerous clients across various industries, helping them unlock the full potential of AI.

Arvind Singh bio:
Arvind Singh is a seasoned Software Architect and Engineer with 8+ years of experience building scalable backend systems and working as a DevOps engineer across industries including fintech, proptech, and education. He specializes in cloud technologies, and automation of infrastructure. Passionate about machine learning and AI, Arvind actively explores intelligent system design and real-time data processing. He enjoys translating complex technical problems into impactful, user-focused solutions and thrives in knowledge-sharing communities like this one.