About Me

Tanmay Mohan
Cloud Physicist
Senior DevOps / Platform Engineer

I work at the intersection of cloud infrastructure, GPU workloads, and cost optimization. By day I'm a Senior DevOps/Platform engineer; by curiosity I'm a cloud physicist — experimenting with how to run AI/ML workloads faster, cheaper, and more reliably across providers.

🏆 Selected Achievements​

🛠 Technical Breadth​

☁️  Cloud:     AWS (EKS, EC2, S3, RDS, IAM), GCP, multi-cloud strategy
📦  Containers: Kubernetes, Karpenter, KEDA, Helm, Argo CD, Bottlerocket
🎮  GPU/ML:    vLLM, Triton, TensorRT-LLM, Whisper, NVFP4, FlashInfer, MIG
🔒  Security:  IRSA, Pod Identity, WAF, SonarCloud, Trivy, SCPs, VPC design
💰  FinOps:    Savings Plans, RIs, Spot, ODCR, Cost Explorer, Vantage, tagging
📊  Observability: VictoriaMetrics, vmagent, Grafana, Langfuse, SigNoz, Uptime Kuma
💾  Data:      ClickHouse, StarRocks, PostgreSQL, Redis/Valkey, S3, EFS

📝 What I Write About​

• GPU Workloads — Practical guides for running GPUs on AWS, GCP, Brev, Verda, E2E Networks, and local machines. See the Running GPUs in 2026 series.
• Cost Optimization — Reducing cloud spend without hurting reliability or developer velocity. See the Cost Optimization Playbook.
• EKS Security — Layered hardening from nodes to CI/CD. See the EKS Security Hardening Guide.
• AWS Account Setup — Production-grade account configuration. See AWS Account & Access Setup.

🎤 Speaking​

• YouTube: GPU Inference at Scale on EKS — Karpenter + KEDA deep dive

📫 Find Me Online​

• Blog — You're here: tanmay.dev
• Portfolio — tanmaymohan.com
• GitHub — github.com/tanmaymohan
• LinkedIn — linkedin.com/in/tanmaymohan
• Email — tanmay [at] tanmaymohan.com

🤝 Open To​

• Senior/Staff/Principal roles: DevOps, Platform, MLOps, Cloud Architecture
• Consulting: GPU platforms, EKS hardening, FinOps, Kubernetes architecture
• Conversations: GPU scheduling, cloud costs, Kubernetes security, observability

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