I build cloud-native platforms, automated delivery pipelines, Kubernetes infrastructure, and AI-enabled engineering tools. My work focuses on making software delivery more reliable, repeatable, observable, and developer-friendly.
Cloud & Infrastructure
AWS β’ Azure β’ Kubernetes β’ Docker β’ Terraform β’ Helm β’ OpenShift
Platform & DevOps
GitHub Actions β’ Azure DevOps β’ Jenkins β’ Argo CD β’ GitOps β’ Linux β’ CI/CD
Observability
Prometheus β’ Grafana β’ CloudWatch β’ OpenTelemetry
Software Engineering
Python β’ Java β’ C#/.NET β’ FastAPI β’ REST APIs β’ Bash
AI Engineering
RAG β’ LLM Applications β’ LangChain β’ Vector Search β’ AI-assisted CloudOps
Building a reusable internal developer platform that provides standardized application delivery from source code to Kubernetes.
Kubernetes Terraform Helm GitHub Actions Platform Engineering
Production-style AWS delivery platform combining Infrastructure as Code, container orchestration, automated CI/CD, Helm packaging, and GitOps deployment.
AWS EKS Terraform Kubernetes Helm Argo CD GitHub Actions
AI-assisted CloudOps service designed to support Kubernetes incident investigation and operational troubleshooting.
Python FastAPI Kubernetes OpenTelemetry ChromaDB AI
Retrieval-Augmented Generation application for retrieving relevant knowledge and generating context-aware AI responses.
Python RAG LLMs Vector Search FastAPI
Containerized observability stack for application and infrastructure monitoring with Kubernetes-ready deployment resources.
Prometheus Grafana Docker Kubernetes FastAPI
- Internal Developer Platforms & Golden Paths
- Kubernetes & Cloud-Native Infrastructure
- Infrastructure as Code
- CI/CD & GitOps
- Observability & Reliability Engineering
- AI-assisted Operations
- Generative AI & RAG Applications
GitHub: rishitha-cloud201
Open to opportunities across Platform Engineering, Cloud/DevOps, SRE, Software Engineering, and Applied AI.