Backend & Infrastructure Engineer
Production backend, search infrastructure, and event pipelines - the parts most teams don't think about until 3am.
I'm Shivam, based in Mumbai and currently building production backend at Lykstage.
I work on the parts most people only notice when they fail: search infrastructure, async pipelines, Kubernetes internals, and reliability work that keeps teams out of 3am firefights.
A production-grade monitoring and autoscaling stack built entirely from scratch , no Helm charts, no shortcuts. The system collects custom application metrics from a Go service, stores them in Prometheus, and uses a custom-written autoscaler controller to make intelligent scaling decisions based on real application behavior - not just CPU and memory.
A real-time monitoring system in Go using client-go to track Kubernetes pod resource requests. A background goroutine collects metrics every 10 seconds, storing historical data in PostgreSQL via GORM for cost estimation and analysis.
Building a production-grade data pipeline that ingests, processes, and forecasts financial time-series data for 10 global stocks. The system runs automated daily predictions and portfolio rebalancing. The challenge: Financial APIs are unreliable, data needs cleaning, models need retraining, and everything must run on a schedule without manual intervention.
I manually deployed Prometheus, Grafana, Node Exporter on Kubernetes, got the dopamine hit from seeing real metrics, and promised I'd do the mature thing next, Terraform, custom metrics, and a real autoscaling controller.
Read MoreI am currently architecting a custom Kubernetes Monitoring & Autoscaling System to deepen my expertise in Cloud-Native engineering.
Read MoreAs a backend engineer, deploying a simple static site is one thing. But what about a "real" application? I'm talking about a Go (Gin) API that needs to talk to a Postgres database and a Redis cache.
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