I build scalable backend systems, real-time streaming platforms, cloud-native infrastructure, and AI-powered automation pipelines.
Currently focused on:
- β‘ Large-scale distributed systems & microservices
- π₯ Real-time video streaming (WebRTC β’ RTMP β’ Kafka)
- βοΈ Cloud-native DevOps (Docker β’ Kubernetes β’ AWS β’ Jenkins)
- π€ AI agents, LLM workflows & autonomous pipelines
- π High-performance backend engineering in Java & Node.js
- Distributed live-streaming platforms handling real-time video delivery
- AI-driven automation systems for content generation & workflows
- CI/CD platforms with multi-stage global deployments
- Event-driven architectures using Kafka, Redis & ScyllaDB
- Production-grade backend services with scalability & reliability focus
Java Spring Boot Node.js Python Kafka Redis ScyllaDB
AWS Docker Kubernetes Jenkins Nginx Terraform
WebRTC RTMP
React TypeScript Next.js
LLMs AI Agents RAG Workflow Automation
- Distributed Computing
- System Design
- Platform Engineering
- Streaming Infrastructure
- AI Infrastructure
- Scalability & Performance Optimization
Build systems that scale.
Automate everything possible.
Keep learning aggressively.
- πΌ LinkedIn: Shashi Kumar Pandey
- π§ Email: mastershashi1995@gmail.com
β Explore my repositories to see production-grade architectures, backend systems, DevOps pipelines, and AI infrastructure projects.

