AI & ML Engineering Student @ RV College of Engineering (2027)
Bangalore, India
Focused on cloud-native systems, DevOps, and applied backend engineering.
- Cloud & containerized applications
- Kubernetes and infrastructure fundamentals
- CI/CD and observability
- Backend systems and APIs
- Deploying ML systems in production
Languages
Javascript · Python · C++ · C · SQL · TypeScript
Frontend
React
Backend & APIs
Node.js · Express · Flask · REST APIs · FastAPI
Cloud & DevOps
Docker · Kubernetes · AWS (S3, ECR, EC2, EKS) · Nginx
Jenkins · GitHub Actions · Apache · Helm · Git
Systems
Linux · Raspberry Pi
Databases
MongoDB · PostgreSQL · MySQL · MariaDB · Supabase
Monitoring
Prometheus · Grafana
- Automation over manual work
- Observability before optimization
- Simplicity over cleverness
- Systems that fail predictably


