Infrastructure & Inference Engineer
Systems that survive the spike.
I build production AWS and Kubernetes platforms, make GPU inference materially cheaper, and turn difficult operational paths into systems teams can trust.
01 / Selected systems
Measured outcomes, not infrastructure theatre.
System 01 · Scale
Peak-traffic platform readiness
Owned end-to-end load testing for revenue-critical traffic events, turning capacity limits into an actionable scaling plan across the production platform.
1.6M concurrent users 6M DAU and INR 4Cr revenue supported in 36 hours.
System 02 · Economics
Owned inference, lower unit cost
Deployed quantized diffusion models and Gemma via vLLM on dedicated GPU infrastructure, reducing dependency on third-party inference APIs.
INR 3.5–4 → INR 0.8 per inference, with self-hosted models serving 30% of production traffic.
System 03 · Real-time
Voice AI over private EKS
Built WebRTC media infrastructure with coturn behind an NLB, carrying SRTP/UDP audio into private-subnet EKS workloads for real-time AI calls.
Sub-second latency across the Android-to-AI voice path.
02 / Experience
From cloud migrations to production AI.
Five-plus years working across AWS, Azure, and GCP—with recent depth in platform scale, inference infrastructure, databases, and reliability.
Dec 2024 — Present
Senior DevOps Engineer
Primetrace
Own high-scale AWS infrastructure and production Kubernetes systems for consumer products; build self-hosted inference, real-time media, event-driven autoscaling, database reliability, WAF, and delivery automation.
Aug 2022 — Nov 2024
DevOps Engineer
Ollion
Delivered cloud cost optimization, GKE-to-EKS and cross-cloud data migrations, and automated security hardening across more than 80 AWS accounts.
Nov 2020 — Aug 2022
Senior Systems Engineer
Infosys
Migrated Redis and Go workloads to Azure-managed services and AKS with Terraform for major global financial institutions.
03 / Working depth
Built across the whole production path.
Cloud & platform
AWS, EKS, EC2, RDS, S3, Route53, CloudWatch, WAF, Azure AKS, GCP GKE and BigQuery.
Orchestration & IaC
Kubernetes, Terraform, ArgoCD, Argo Workflows, Docker, Helm, KEDA, GitHub Actions.
Inference & real-time
A100, L40S, H100, vLLM, Gemma, diffusion models, LoRA, WebRTC, coturn, TURN/STUN and SRTP.
Reliability & data
MySQL/InnoDB internals, Redis, load testing with Locust, observability, backups, access governance, Python and Bash.
1st place — AWS GameDay Led the top-scoring team in the Acquisition Meltdown / AWS DevOps Agent competition, finishing with 99,270 points among competing startups.
04 / Contact