Marri Rohit

Bangalore

Summary

Cloud Computing and DevOps enthusiast, currently an L1.5 Engineer at HP. Focused on building expertise in Cloud Computing and Computer Networks, and committed to delivering value to forward-thinking, world-changing organizations.

Overview

year of professional experience

Work History

L1.5 Engineer

Hewlett Packard (Quess)

Bangalore

01.2025 - Current

Supported the team in diagnosing and resolving computer network issues to ensure uninterrupted operations
Forged strong stakeholder relationships by driving new initiatives, achieved project goals and annual renewals
Interacted with customers of the company and educated them regarding issues and fixing them
Managed user data and system environments.
Configured and deployed virtual machines, making them ready for production and team use.

Education

Bachelor of Technology - Computer Science (Data Science)

Presidency University

Bangalore, India

11-2024

Higher Secondary -

SRICHAITANYA

Ongole, India

06-2020

Skills

SQL
Python
Git
Github
Cloud computing
Linux
Data Analysis

Networks
AWS
Excel
Virtualbox
VMware
GCP

Projects

· Geographical Profiling of Routes Based on Security and Surveillance:- Engineered an innovative system integrating state-of-the-art technologies for geographical route profiling. Enhanced security by analyzing data distribution and optimizing routes, resulting in a 25% reduction in incident reports. Implemented machine learning algorithms to predict high-risk areas, improving response times by 30 %

·Weather forecasting app:- I created a live, working weather forecasting app using JavaScript for real-time updates and Bootstrap for a sleek, responsive design. The app delivers accurate weather information with an intuitive user interface.

· Created multiple virtual machines in GCP, AWS: - Experienced in creating and managing virtual machines in Google Cloud Platform (GCP), Amazon Web Services (AWS)

· Managed Identity and Access Management in AWS: - Experienced in managing Identity and Access Management (IAM) in AWS

· Analyses on customer behavior and revenue trends using complex SQL queries to optimize sales and marketing

Timeline