Final-year B.Tech student working across DevOps, AI Engineering, and Cloud — containerizing and deploying real services, building the AI layer on top, and running it all in the cloud. The network behind me is roughly what I like building: small services, talking to each other, staying up.
Pulled directly from what's actually running in the projects below — not a generic list.
Six projects, ranked by relevance to DevOps, AI Engineering, and Cloud roles.
Lets users store personal data securely and control third-party access through an auditable consent system. React, Node.js, PostgreSQL, Docker.
Event-driven incident-response pipeline: 7 microservices communicate over Kafka to ingest logs/metrics, flag threshold-based anomalies, classify root causes, and route alerts to Slack.
Runs research, critique, and synthesis through three coordinated AI agents to reduce hallucinated output. Python and the Gemini API.
Analyzes legislative text and answers questions grounded in the source document, with multilingual summaries. FastAPI, React, Gemini API.
Monitors API uptime and diagnoses failures automatically using a local LLM (Ollama). Built with Go, Gin, PostgreSQL, and Docker.
Manages fleet vehicles, drivers, trips, and maintenance with role-based access for four operational teams. Spring Boot, PostgreSQL, React.
Open to internship and new-grad roles in Cloud, DevOps, Backend, or AI Engineering.