Raj Tayde

I’m a DevOps and Cloud Engineer (Fresher) building production-grade automation with Linux, Docker, Kubernetes, and AWS. My B.Tech in Computer Science keeps my work grounded in operating systems, networks, and system design principles. I’m especially drawn to making reliability and maintainability measurable through monitoring and repeatable deployment pipelines.

In my Information Technology Intern role, I analyzed digital workflows across 4+ departments and identified infrastructure and process gaps in both citizen-facing and internal systems. I proposed solution paths that work under legacy constraints, emphasizing reliability, scalability, and maintainability, then delivered a documented roadmap of 10+ prioritized recommendations for future automation and modernization. That experience shaped how I approach DevOps decisions: clear trade-offs, practical planning, and measurable outcomes.

My projects mirror the full lifecycle—from APIs to observability and CI/CD. For LLM Drift Monitor, I architected and deployed a live monitoring SaaS with multi-provider LLM support, real-time drift/spike detection, alerting endpoints, and a GitHub Actions CI/CD pipeline with automated tests and Docker-based deploys. I also built a Dockerized Movie Sentiment API and an AI-powered Exam platform using Groq LLM, secure shareable links, analytics dashboards, and integrated drift observability; plus I contribute to open source (including Jenkins) and community tech improvements.