
Project
LLM Inference Platform
A production-style LLM inference platform built with KServe, vLLM, llm-d, Envoy Gateway, Argo CD, and Helm — exploring scalable model serving, request routing, and GitOps workflows.
- Kubernetes
- KServe
- vLLM
- Argo CD
- Helm

Software engineer
IIT KGP graduate Ex-Atlan intern LFX Thanos contributor Kubeflow member CKA certified
Jun — Nov 2025
Automated EKS control-plane and node upgrades with Argo Workflows (80% faster), synced secrets with External Secrets Operator, built Grafana dashboards and alerts that cut MTTD by 40%, and served on the platform on-call rotation.
Jan 2025 — Now
Cascade deletion in the Pipelines backend, release automation for Kubeflow Trainer, and Release Shadow for Kubeflow Community Distribution 26.03.
Sep — Nov 2024
Optimized request hedging in Thanos Store Gateway with adaptive T-Digest thresholds, cutting P99 tail latency by 30% — merged upstream as an opt-in production option.

Project
A production-style LLM inference platform built with KServe, vLLM, llm-d, Envoy Gateway, Argo CD, and Helm — exploring scalable model serving, request routing, and GitOps workflows.
Project
A Kubernetes operator that analyzes Prometheus metrics during rollouts to automatically detect regressions and enable safer, metrics-driven deployments.

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An intelligent autoscaling system that forecasts workload demand and proactively scales Kubernetes applications using KEDA and time-series predictions.
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Automated provisioning of isolated MedusaJS stores using Argo Workflows, enabling repeatable deployments with GitOps and cloud-native infrastructure.