Projects
View all projects →Experience
Open Source Contributor
MLOps Pipeline Expertise: Developed end-to-end ML workflows using Kubeflow components - distributed training to model deployment and inference serving
Backend Developer
Scaled festival backend: Managed Django platform serving 5K+ concurrent users during OASIS and Apogee festivals
Writing
Deploying Microservices on AWS: Choosing Between ECS, Fargate, and EKS
A practical comparison of AWS container solutions. Learn task/service management, cost tradeoffs between Fargate and EC2, scaling policies, and when to use ECS vs EKS for microservices
Securing Kubeflow with Istio Ambient Mesh
Kubeflow ML platforms face a trilemma: security, performance, and simplicity. This article documents how I solved it through GSoC 2025 by migrating from sidecar-based Istio to Ambient Mesh architecture, reducing resource overhead by80%, and implementing enterprise-grade authentication without privileged containers.