Cloud Engineering & DevOps Enthusiast with a knack for deploying scalable AI solutions.
Currently optimizing pipelines and ensuring 99.9% uptime.
I am a final-year Information Science student at Sahyadri College of Engineering & Management, Mangaluru, bridging the gap between Software Development and IT Operations.
- π Iβm currently working on Scalable GenAI Platforms on GCP.
- πΌ Interning at Exposys Data Labs. Ex-Intern at Infosys Springboard.
- π± Iβm currently learning Kubernetes Networking & Service Mesh.
- π― Goal: To build resilient, self-healing cloud infrastructure.
| Cloud & Infrastructure | DevOps & Containers | Languages & Scripting | Databases & AI |
|---|---|---|---|
| Project | Tech Stack | Impact |
|---|---|---|
| Genius Nexus AI | GCP Cloud Run Docker |
Reduced deployment time by 90% by utilizing scale-to-zero microservice architecture for GenAI models. |
| Crowd Count Analytics | YOLO MongoDB Python |
Built a real-time crowd counting system for Infosys Springboard with dashboard analytics. |
| System Health Monitor | Bash Linux Cron |
Automated server health checks, detecting failures 30% faster via log analysis. |
| Google Ads Performance Analyzer | REST API PostgreSQL Streamlit |
Built an end-to-end ad analytics pipeline to simulate and analyze Google Ads campaign performance using Python, PostgreSQL, Streamlit and Flask. |

