Amandeep Singh
Founder & CEO Welzin.ai
Chandigarh, India
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Aman is a seasoned Data and AI Architect with 12+ years of experience designing large-scale analytics, ML, and GenAI platforms for enterprise environments. A former Senior ML Engineer at PayPal, he is passionate about making advanced AI practical and accessible for businesses of all sizes.
As the founder of Welzin, a boutique AI firm, Aman now leads the delivery of custom AI/ML, GenAI, and data science products that help organizations turn complex data and modern AI capabilities into real-world business impact.
Area of Expertise
Topics
TinyML at the Edge: Deploying and Optimizing AI Workloads on Zephyr RTOS
TinyML is transforming edge computing by enabling smart inference directly on microcontrollers but resource limitations make deployment complex. Zephyr RTOS lightweight, modular, and feature-rich is becoming a go-to platform for building embedded AI systems. This session walks through how to effectively run TinyML workloads on Zephyr using various inference engines like TensorFlow Lite Micro, microTVM, emlearn, and LiteRT, along with decision points for selecting runtimes based on hardware constraints. We will explore the runtime and how it simplifies AutoML workflows while supporting multiple backends. Attendees will also learn to use Zephyr’s Linkable Loadable Extensions (LLEXT) for hot-swapping models without reflashing. Performance optimization techniques such as quantization and operator fusion will be covered, along with benchmarking on physical devices vs Renode simulation. The talk concludes with real-world examples like health monitors and predictive maintenance, best practices for OTA model updates, and the future of embedded AI with Zephyr.
GPU‑Accelerated Workloads on KubeVirt: Scaling ML/AI in Kubernetes
KubeVirt is redefining how we run virtual machines in Kubernetes but what happens when those VMs need GPU acceleration for demanding AI/ML workloads?
In this lightning talk, I will walk through how to enable GPU-backed virtual machines in KubeVirt, and why this approach is gaining traction for secure, scalable, and isolated inference pipelines. We will explore the differences between container-based and VM-based GPU allocation, and see how KubeVirt integrates with CNCF tools like Prometheus and Kubernetes scheduler to monitor and optimize performance. If you are looking to push KubeVirt beyond typical VM use cases and into production-ready ML/AI workloads, this session will give you the technical foundation and the inspiration to get started.
Cloud Native Artificial Intelligence:Building Self-Healing Cloud Native Infrastructure with AI
This session explores how combining artificial intelligence and cloud native infrastructure can transform present Kubernetes operations into intelligent and self-managing platforms. Attendees will learn about how implementing AI-driven resource optimisation, predictive scaling, and automated incident response in cloud native environments will help organisations. This will equip machine learning engineers and data scientists with the knowledge to understand the changing Cloud Native Artificial Intelligence (CNAI) ecosystem and its opportunities.
KCD Sri Lanka 2025 Sessionize Event
KubeVirt Summit 2025 Sessionize Event
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