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Solving Synthetic Data generation using LLMs | mitramadal.ai EP2 - 2026

Feb 21, 2026

In this talk at mitramandal.ai EP2, Chinmay Naik (Founder & CEO, One2N) walks through how One2N solved the problem of synthetic data generation using LLMs - covering the real-world use cases that drove it, why anonymization falls short, and how they built a tool that uses LLMs for schema generation and deterministic faker-based data generation.

Apart from this we had in person talks from Dr Venkat Chandar on Shipping AI Without Breaking Your Game and from Udayan Kanade on Computing meaning: A structural method for processing language. The talks from them were amazing but offline only for now. Keep an eye out for upcoming mitramandal.ai and keep learning.

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Kubernetes for Hybrid Cloud Environments - Harshwardhan Mehrotra - #60 Kubernetes Pune Meetup

Harshwardhan Mehrotra

SRE @One2N

Scaling Kubernetes workloads across 40+ data centers is hard – especially when you must meet strict data residency and latency requirements while still leveraging the public cloud. In this talk from the Kubernetes Pune Meetup, Harshwardhan Mehrotra (Site Reliability Engineer at One2N) walks through how his team designed and operated an EKS hybrid setup for a large betting platform with data centers across the US, UK, and Europe. You’ll see how they connected on‑prem worker nodes to an AWS EKS control plane, handled networking at scale, and kept the developer experience close to a “normal” EKS cluster. What you’ll learn: - Why EKS hybrid was chosen over fully on‑prem or fully cloud, and how regulatory and latency constraints shaped the architecture. - How to design pod vs node networking, routable vs non‑routable pod networks, and when to bring in BGP. - How to connect 40+ data centers to AWS using Direct Connect / site‑to‑site VPN and Cilium/Calico CNIs. - How to expose apps using F5 and Istio/NGINX ingress when ALB is not an option. - Real‑world issues with DNS (CoreDNS, Route 53 limits, node‑local DNS) and traffic distribution, plus how they fixed them. - Lessons on egress control, firewall bottlenecks, add‑on placement (Argo CD, KEDA, Prometheus, etc.), and building repeatable playbooks for on‑prem nodes. - This talk is ideal for platform engineers, SREs, and architects running Kubernetes across data centers and cloud, or evaluating EKS hybrid for regulated workloads.

Watch Talk

Kubernetes for Hybrid Cloud Environments - Harshwardhan Mehrotra - #60 Kubernetes Pune Meetup

Harshwardhan Mehrotra

SRE @One2N

Scaling Kubernetes workloads across 40+ data centers is hard – especially when you must meet strict data residency and latency requirements while still leveraging the public cloud. In this talk from the Kubernetes Pune Meetup, Harshwardhan Mehrotra (Site Reliability Engineer at One2N) walks through how his team designed and operated an EKS hybrid setup for a large betting platform with data centers across the US, UK, and Europe. You’ll see how they connected on‑prem worker nodes to an AWS EKS control plane, handled networking at scale, and kept the developer experience close to a “normal” EKS cluster. What you’ll learn: - Why EKS hybrid was chosen over fully on‑prem or fully cloud, and how regulatory and latency constraints shaped the architecture. - How to design pod vs node networking, routable vs non‑routable pod networks, and when to bring in BGP. - How to connect 40+ data centers to AWS using Direct Connect / site‑to‑site VPN and Cilium/Calico CNIs. - How to expose apps using F5 and Istio/NGINX ingress when ALB is not an option. - Real‑world issues with DNS (CoreDNS, Route 53 limits, node‑local DNS) and traffic distribution, plus how they fixed them. - Lessons on egress control, firewall bottlenecks, add‑on placement (Argo CD, KEDA, Prometheus, etc.), and building repeatable playbooks for on‑prem nodes. - This talk is ideal for platform engineers, SREs, and architects running Kubernetes across data centers and cloud, or evaluating EKS hybrid for regulated workloads.