Aviraj K.

AI Infrastructure & MLOps Engineer | Kubernetes, AWS, Python, GPU

I build and operate production AI infrastructure — from Python inference services and GPU workloads to Kubernetes, cloud architecture, CI/CD, observability, and production reliability. I recently completed a 1,115+ hour long-term US engagement with AudioMe, earning a 5.0/5 client rating while taking ownership across AI/ML engineering, cloud infrastructure, backend services, Kubernetes, GPU infrastructure, DevOps, security, observability, and cloud cost optimization. My client described me as an “extraordinary technical partner” and highlighted my ability to operate across the entire platform — from designing scalable infrastructure to diagnosing production incidents and improving system performance. What I specialize in • AI Infrastructure & MLOps — model serving, inference APIs, GPU workloads, autoscaling, production ML • Python & FastAPI — AI microservices, backend APIs, async workloads, production services • Kubernetes — EKS/GKE/AKS, Helm, KEDA, HPA, scale-to-zero, production troubleshooting • AWS / GCP / Azure — architecture, migrations, networking, security and optimization • Terraform & IaC — repeatable, production-grade cloud infrastructure • CI/CD & Platform Engineering — GitHub Actions, Jenkins, Azure DevOps, automated releases • Observability & SRE — Prometheus, Grafana, OpenTelemetry, OpenSearch, incident response • GPU Infrastructure — AI inference, hybrid CPU/GPU execution and cost optimization • FinOps — cloud cost analysis, rightsizing, forecasting and infrastructure optimization • LiveKit / WebRTC — self-hosted real-time infrastructure, TURN/SFU, scaling and reliability Production experience At AudioMe, I worked across voice cloning, TTS, AI inference services, Python microservices, Kubernetes, GPU infrastructure, multi-cloud migration and production operations. At Perforce, I work on enterprise cloud intelligence and platform engineering across 1,600+ cloud accounts, including multi-cloud cost optimization, ML forecasting, recommendation systems, Kubernetes and AI-powered infrastructure tooling. I also build autonomous cloud engineering systems involving AI agents, Terraform execution, GitOps, policy enforcement, RBAC, observability and automated remediation. Certifications • Google Cloud Professional Cloud Architect • Google Cloud Professional Cloud DevOps Engineer • Google Cloud Generative AI Leader If you need someone who can build the AI/backend software, architect the infrastructure, deploy it, scale it and keep it reliable in production, send me your architecture or requirements.