shivamrut.g
Backend Developer // Bangalore, India

Technical Skills

Languages

Java Go C++ Python

DevOps & Cloud Ecosystem

Kubernetes Docker Helm GCP KEDA Istio

Data, Messaging & APIs

Kafka Redis Elasticsearch PostgreSQL gRPC WebSockets

Engineering Experience

SDE Intern
Ruckus Networks – CommScope
Jul 2025 – Present
  • Analyzed GCP Kubernetes workloads and built a Spot VM proof-of-concept projecting ~58% compute cost savings to guide migration strategy.
  • Built Grafana dashboards for Istio traffic, KEDA health, Kafka metrics, and service dependencies used across multiple global regions for on-call debugging.
  • Increased unit test coverage for a ~30K LOC Spring Boot service from 50% to 80% to mitigate regression risks.
  • Debugged KEDA scaler and operator issues and coordinated a zero-downtime KEDA version upgrade across the service ecosystem.
Application Development Intern
LifeSigns
Sep 2024 – May 2025
  • Built a hospital nurse monitoring system (Go, React, PostgreSQL) to digitize Uroflow and IV tracking with secure RBAC, 22+ normalized tables, structured logging with rotation, and reusable React components.
  • eveloped a React interface and JWT-authenticated API (with refresh tokens) for ambulance live streams using Ant Media, enabling secure remote monitoring by medical staff.
  • Engineered a WebSocket-based CCTV stream manager: multithreaded Python clients on embedded IoT devices convert RTSP to RTMP and publish to Ant Media Cloud, managed via Flask REST API for command/control; Dockerized and deployed via CI/CD.

Open Source & Communities

GSoC Contributor // Microservice Migration
Eclipse SW360
2026
  • Refactored modular frameworks from unified legacy formats into distinct, independent REST and gRPC microservice components.
  • Merged structural fixes optimizing security validations, dependency injections, and thread synchronization layers.

Systems Architecture Projects

Event-Driven Tenant Audit System
Spring Boot, Kafka, Elasticsearch, Redis

Designed a distributed decoupled auditing application where database mutations emit localized pipeline events via Kafka brokers.

  • Utilized parallelized isolated consumer groups to route persistent data indexes directly into Elasticsearch clusters.
  • Configured dynamic operational caching models utilizing Redis to heavily mitigate primary storage access load.

Education

B.Tech, Computer Science and Engineering
Graduation: 2026
University Visvesvaraya College of Engineering