Building resilient infra at scale
DevOps Engineer with 2 years of experience designing, deploying, and managing production Kubernetes clusters for large-scale on-site AI platform deployments. Owns GitOps-based release automation for 50+ microservices across Development, Staging, UAT, and Production environments.
Manually built a 4-cluster hub-and-spoke platform on RKE2 (1 hub + 3 spokes) from scratch, with HA control planes via HAProxy and Keepalived (VRRP). Centralized monitoring, GitOps, container registry, and secrets on the hub — Prometheus/Grafana/Loki, ArgoCD, Harbor, and Vault — for all spokes, and documented the full architecture publicly with diagrams.
Read the articleLed DevOps for a large-scale Django & React streaming app on Kubernetes across Prod, UAT, and Staging. Automated releases via GitHub Actions + ArgoCD (GitOps). Managed UDP live streams, FFmpeg, Kafka, Celery, Redis, and AI services including Face Recognition and Speech-to-Text.
Read the articleMaintained and deployed an AI-powered camera platform supporting object detection, face recognition, and ANPR. Fully automated CI/CD; migrated legacy Jenkins pipelines. Deployed GPU-enabled AI services for real-time inference and delivered on-site POCs to client GPU servers.
Read the articleManaged DevOps for an AI-driven inventory system that converts hardcopy documents into digital format via OCR and provides ChatGPT-like search over data. Automated deployments for both AWS EKS and on-premises Kubernetes environments.
Open to full-time DevOps / Platform Engineer roles and interesting projects.