Lakshman Madheshiya

Lakshman Madheshiya

Intern · Engineering

Computer Science Engineering graduate with a strong foundation in software engineering and systems automation. Highly proficient in configuring multi-tier web architectures using AWS cloud platforms and automation frameworks, seeking an entry-level DevOps / Cloud Engineer role to optimize system reliability.

Intern Resume Verified GitHub Connected Social Verified Decoding DevOps: Basics to Advanced Projects with AI

Profile updated 7 days ago

Most Recent Role

Not specified

Education

Bachelor of Technology (B.Tech.) in Computer Science & Engineering

Raj Kumar Goel Institute of Technology (RKGIT), Ghaziabad, UP

Skills & Technologies

27 detected

Languages

Java
Java
Python
Python
Bash
Bash

Tools & Platforms

AWS
AWS
GCP
GCP
Jenkins
Jenkins
GitHub Actions
GitHub Actions
GGitLab CI/CD
Git
Git
Terraform
Terraform
Ansible
Ansible
Docker
Docker
Kubernetes
Kubernetes
Prometheus
Prometheus
Grafana
Grafana
AAWS CloudWatch
Linux
Linux
GitLab
GitLab

Other

Maven
Maven
VVagrant
HHelm
LLoki
AAlloy
SSSH
TTCP/IP
YYAML
JJSON

Certifications

1

Decoding DevOps: Basics to Advanced Projects with AI

Social Profiles

LinkedIn
LinkedIn
GitHub
GitHub
LeetCode
LeetCode

Projects

6 built

VProfile Project

  • Engineered a high-availability, multi-tier application environment using local Linux VMs (Vagrant) and migrated configuration infrastructure to AWS cloud services.
Vagrant
AWS
AWS
Docker
Docker
Kubernetes
Kubernetes
Jenkins
Jenkins

Cloud Monitoring & Observability Framework Implementation

  • Deployed a centralized performance monitoring infrastructure utilizing Prometheus and Grafana to track virtual server and container metrics.
Prometheus
Prometheus
Grafana
GrafanaAlloyLoki

Infrastructure Automation & Configuration Management

  • Formulated modular Ansible Playbooks for Configuration Management utilizing roles, variables, and handlers to automate package management and OS configuration patches across remote backend nodes.
Ansible
Ansible
Bash
Bash
Python
Python

Automated CI/CD Pipeline for Java Web Application

  • Designed and executed a 9-stage declarative Jenkins pipeline automating code fetch, Maven build, static analysis (SonarQube/Checkstyle), containerization, and AWS deployment.
Jenkins
Jenkins
Maven
MavenSonarQubeAWS ECRAWS ECS Fargate
Docker
Docker+1

Containerized Web Application Architecture on AWS EC2

  • Provisioned and set up an AWS EC2 Ubuntu instance via SSH to host web infrastructure. Built a custom Docker image, organized container port mappings, and managed service health using systemctl.
AWS EC2Ubuntu Linux
Docker
DockerGit/GitHub

Multi-Tier Web Application Deployment on AWS

  • Provisioned and arranged AWS infrastructure to host a multi-tier web application backend and relational database. Integrated AWS RDS MySQL database instance, managed schema migrations, and populated application data via command line tools.
AWS (EC2, RDS MySQL)
Linux
Linux
Git
GitCustom DomainSSL

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