Cloud & DevOps
AWS infrastructure, containerized services, deployment pipelines, and the troubleshooting that keeps applications running reliably.
- AWS
- Docker
- GitHub Actions
- Terraform
- CloudWatch
Hi, I'm Ranjeet.
Software engineer working across cloud, DevOps, and AI applications.
I build backend systems, automate deployments on AWS, and develop AI-powered support tools. My focus is on how these systems behave in use: reliable workflows, useful evaluations, and clear visibility when something goes wrong.
What I Work On
My work connects application development with deployment, operations, and AI systems.
AI Applications
RAG-based chatbot and support-agent development, with tools for real-time information, evaluations, Langfuse observability, and guardrails.
- RAG
- Tool calling
- Evaluations
- Langfuse
- Guardrails
Backend Systems
APIs, payment integrations, webhook processing, and access workflows, backed by relational data and caching.
- Node.js
- NestJS
- TypeScript
- PostgreSQL
- Redis
MLOps & Model Lifecycle
MLOps responsibilities alongside AI application work, with continued learning in model versioning, validation, deployment, and monitoring.
Tools in ongoing learning
- MLflow
- DVC
- Feast