SYSTEMS / AUTOMATION / CLOUD
10.5276° N, 76.2144° E // THRISSUR, IN
Mohammed Afnan K A — RHCSA Certified Linux & DevOps Engineer
> MOHAMMED AFNAN K A | RHCSA CERTIFIED

Building reliable systems. Automating infrastructure. Exploring the cloud.

RHCSA Certified • Aspiring DevOps Engineer
01 // PROFESSIONAL IDENTITY

Rooted in Linux Systems.
Building Toward Automation.

I'm a Computer Science graduate and Red Hat Certified System Administrator (RHCSA) with hands-on experience in Red Hat Enterprise Linux and a strong foundation in Linux system administration, networking, and server fundamentals.

I'm proficient in Linux command-line administration, user and group management, file permissions, storage management, LVM, systemd, SSH, and network configuration.

I enjoy troubleshooting technical problems and building practical solutions, and I'm focused on developing my skills in enterprise infrastructure, DevOps, cloud technologies, and automation.
STATUS RHCSA Certified August 2026
EDUCATION B.Tech in CSE Vidya Academy • CGPA 7.34
LOCATION Thrissur, India Open to Relocation / Remote
PRIMARY FOCUS DevOps & Linux Systems Administration
afnan@rhel-node01: ~/profile BASH
$ uname -a
Linux rhel-node01 5.14.0-427.el9.x86_64 #1 SMP PREEMPT_DYNAMIC x86_64 GNU/Linux
$ systemctl status career-path.service
● career-path.service - Enterprise DevOps & Cloud Transition
   Loaded: loaded (/etc/systemd/system/career-path.service; enabled)
   Active: active (running) since 2022-09-01
   Main PID: 2026 (RHCSA-SysAdmin)
   Tasks: 4 (Linux, Automation, Cloud, Networking)
   Memory: Optimal
   CGroup: /system.slice/career-path.service
          └─2026 /usr/bin/bash /opt/devops/continuous-learning.sh
$ cat /etc/profile.d/core_competencies.sh
# Identity: Mohammed Afnan K A
export OS="Red Hat Enterprise Linux 9 / Linux CLI"
export STORAGE="LVM, XFS, EXT4, AutoFS, NFS"
export AUTOMATION="Bash, Cron, Git, AWS EC2"
export CERTIFICATION="Red Hat Certified System Administrator"
export PASSION="Reliability • Infrastructure as Code • Observability"
$ _

Target Roles

Junior DevOps Engineer Linux System Administrator System Engineer Cloud Support Engineer Infrastructure Support Engineer
02 // CAPABILITIES & EXPERTISE

Technical Competencies.
Grounded in Linux Fundamentals.

Strictly representing hands-on skills practiced through RHEL lab administration, college projects, and clear learning milestones.

Operating Systems

2 Technologies
  • Red Hat Enterprise Linux (RHEL)
  • Linux Distributions

Linux Administration

11 Competencies
  • Linux Command Line
  • User & Group Management
  • File Permissions (chmod/chown)
  • Storage Management & Partitions
  • XFS & EXT4 Filesystems
  • Logical Volume Manager (LVM)
  • systemd & Service Management
  • Process Management (ps/top/kill)
  • Package Management (dnf/rpm)
  • SSH & Remote Access
  • sudo & sudoers configuration

Networking

6 Protocols & Concepts
  • TCP/IP
  • IPv4 & Addressing
  • DNS
  • DHCP
  • Network Configuration (nmcli/ip)
  • Subnetting & Routing

Server Administration

4 Services
  • NFS (Network File System)
  • AutoFS on-demand mounts
  • Remote Server Administration
  • Daemon & Service Management

Scripting & Programming

4 Languages
  • Bash & Shell Scripting
  • Python
  • SQL (Database Programming)
  • Java Fundamentals

Tools & Environments

3 Development Tools
  • Git & GitHub
  • Visual Studio Code
  • PyCharm

Core Computer Science

3 Academic Disciplines
  • Operating Systems
  • Computer Networks
  • Database Management Systems (DBMS)
ACTIVE LEARNING FOCUS

DevOps & Cloud Transition

7 Growth Areas
  • LEARNINGLinux Automation
  • LEARNINGAdvanced Bash Scripting
  • LEARNINGCron Scheduling
  • LEARNINGGit CI/CD Workflows
  • LEARNINGAWS EC2 Fundamentals
  • LEARNINGCI/CD Concepts
  • LEARNINGCloud Infrastructure Basics
03 // HANDS-ON WORK

Featured Projects.
Real Implementations & Workflows.

Showcasing real technical work across Linux automation scripting, full-stack medical AI platforms, and machine learning classifiers.

bash — monitoring.sh (AWS EC2 / RHEL) CRON @ 00:00
Linux System Resource Monitoring Terminal Screenshot
monitoring.sh snippet
#!/bin/bash
# Scheduled execution via cron at midnight
LOGFILE="/var/log/system_monitor_$(date +%F).log"
echo "[$(date '+%Y-%m-%d %H:%M:%S')] CPU: $(top -bn1 | grep 'Cpu(s)')" >> $LOGFILE
echo "[$(date '+%Y-%m-%d %H:%M:%S')] MEM: $(free -h | awk '/Mem:/ {print $3 "/" $2}')" >> $LOGFILE
Linux Automation • DevOps AWS EC2 Verified

Shell Scripting with AWS EC2, Bash & Git

Linux System Resource Monitoring & Automated Logging

A Linux automation project built using Bash to continuously inspect server health, calculate CPU and memory consumption, monitor disk partition thresholds, and write timestamped diagnostic logs.

KEY HIGHLIGHTS:

  • ▸Bash script named monitoring.sh engineered for unattended execution and robust error handling.
  • ▸Scheduled execution using cron configured to trigger midnight health snapshots automatically.
  • ▸System resource monitoring tracking memory buffers, root filesystem capacity, and CPU idle percentages into structured logs.
  • ▸Git version control maintaining clear branching and revision logs for all automation scripts.
  • ▸AWS EC2 environment deployment verifying cloud-hosted Linux instance operational telemetry.
Linux Bash AWS EC2 Git Cron
Download Project (ZIP) View on GitHub (Afnan3311)
EyeQ AI Platform • Mobile & REST Backend FULL-STACK AI
EyeQ AI-Powered Retinal Scan Analysis Platform Interface
AI & Full-Stack Healthcare Django + Flutter

EyeQ: AI-Powered Eye Disease Detection System

Dual-Eye Retinal Image Analysis Platform

A full-stack AI-powered eye disease detection platform featuring a Flutter mobile application and a Python Django backend for secure authentication, clinic appointment scheduling, automated diagnosis management, and medical record handling.

KEY HIGHLIGHTS:

  • ▸Customized EfficientNet-B3 model engineered for high-precision retinal pathology feature extraction.
  • ▸Dual-eye retinal image analysis simultaneously assessing left and right fundus photographic inputs.
  • ▸Multi-label disease detection classifying concurrent conditions including diabetic retinopathy and glaucoma.
  • ▸Image preprocessing & feature fusion standardizing clinical scans with OpenCV before tensor ingestion.
  • ▸Affected-eye identification providing localized diagnostic telemetry for clinical assistance.
Python Django Flutter Dart PyTorch EfficientNet-B3 OpenCV MySQL REST API
View on GitHub (Afnan3311)
Flask Application • ML Clinical Pipeline SCIKIT-LEARN
• Clinical Parameters
→
• SMOTE & Scaling
↓
★ Random Forest + GridSearch
→
• Flask Web UI
Machine Learning Web App Scikit-Learn + Flask

HeartPredict AI

Clinical Parameter Disease Risk Classifier

An AI-powered web application built with Python and Flask for heart disease prediction using patient clinical health parameters, focusing on data balancing, feature scaling, and transparent probabilistic scoring.

KEY HIGHLIGHTS:

  • ▸Random Forest classifier trained for stable ensemble predictive accuracy across diverse biometric markers.
  • ▸Data preprocessing & feature scaling normalizing disparate continuous and categorical distributions.
  • ▸SMOTE-based class balancing preventing model bias across imbalanced disease diagnosis sample groups.
  • ▸Hyperparameter tuning with GridSearchCV systematically optimizing tree estimators and max depth.
  • ▸K-Fold cross-validation confirming test metrics avoid variance and overfitting.
Python Flask Scikit-learn Pandas NumPy HTML CSS Bootstrap JavaScript
View on GitHub (Afnan3311)
rhel-lab • Enterprise Admin Exercises RHCSA LABS
VERIFIED EXERCISES // RHEL 9
✓ useradd / usermod / groupadd
✓ chmod / chown / ACLs / umask
✓ fdisk / gdisk / parted storage
✓ pvcreate / vgextend / lvextend
✓ mkfs.xfs / xfs_growfs / tune2fs
✓ systemctl enable --now / daemon-reload
✓ ssh-keygen / authorized_keys / sshd_config
✓ nmcli con mod / /etc/resolv.conf
✓ exports / nfs-server / /etc/auto.master
Hands-on Learning Lab RHEL 9 Administration

Linux Administration Hands-On Lab

RHCSA Practical Systems Operations & Troubleshooting

A documented hands-on learning lab covering enterprise Red Hat Enterprise Linux operations, storage allocation, system recovery, user permission hardening, and service management.

PRACTICAL DOMAINS PRACTICED:

  • ▸Users & groups: Non-login service users, secondary group assignments, aging policies.
  • ▸File permissions: Standard permissions, SUID/SGID bits, sticky bits, and sudoers privileges.
  • ▸LVM storage: Physical volumes, volume group aggregation, and live logical volume resizing.
  • ▸systemd services: Custom unit file generation, dependency sequencing, and journalctl analysis.
  • ▸NFS & AutoFS: Network directory exports, firewall rules, and automated automounter configuration.
RHEL LVM XFS systemd SSH NFS AutoFS nmcli
View Profile on GitHub
04 // CREDENTIALS

Technical Certifications.
Industry-Standard Validation.

Feature-highlighting the Red Hat Certified System Administrator (RHCSA) credential alongside certified programming competencies.

PRIMARY CREDENTIAL
RED HAT • CERTIFICATION

Red Hat Certified System Administrator (RHCSA)

Issuing Body: Red Hat • Date: August 2026 • ✓ Verified Credential

Linux Administration Relevance: RHCSA validates the core system administration skills required in Red Hat Enterprise Linux environments, including user security, persistent storage (LVM), firewall rules, running services, and filesystem configuration.

Infosys SpringBoard

Programming using Java

February 2024
Spoken Tutorial Project, IIT Bombay

Python Training

April 2024
Oracle Academy

Database Programming with SQL

May 2024
05 // ACADEMICS & EXPERIENCE

Education.
Academic Foundation.

2022 – 2026 CGPA: 7.34

Bachelor of Technology in Computer Science and Engineering

Vidya Academy of Science and Technology

Core studies: Operating Systems, Computer Networks, Database Management Systems, Data Structures & Algorithms.

2020 – 2022 91.2%

Class XII • Higher Secondary Education

St Joseph HSS Mathilakam • Kerala HSE Board
2020 68.7%

Class X • Secondary School Examination

Albab Central School • CBSE Board
INTERNSHIP EXPERIENCE

ICT Academy of Kerala

Area: Artificial Intelligence & Machine Learning
  • ▸ Gained hands-on experience in Python programming and numerical analysis.
  • ▸ Practiced end-to-end data preprocessing, missing-value imputation, and feature engineering.
  • ▸ Worked with supervised and unsupervised machine learning algorithms.
  • ▸ Participated in project work involving predictive modelling and multi-class classification.

Professional Journey & Direction

Focused trajectory connecting computer science fundamentals, enterprise system administration, and modern cloud infrastructure.

01
Computer Science Graduate
Strong fundamentals in operating systems, algorithms, networking protocols, and systems architecture.
↓
02
RHCSA-Certified Linux Administrator
Hands-on enterprise mastery in RHEL, LVM storage, user permissions, networking, and systemd service management.
↓
03
DevOps & Cloud Infrastructure Learning
Advancing into automated Bash scripting, Git workflows, AWS EC2 fundamentals, and CI/CD pipelines.
06 // CONNECT

LET'S BUILD SOMETHING RELIABLE.

I'm interested in opportunities involving Linux administration, DevOps, cloud infrastructure, and technical support. Let's connect.

Direct Email mohdafnan9617@gmail.com
Send Email
LinkedIn Profile linkedin.com/in/mohammed-afnan04
GitHub Repositories github.com/Afnan3311
Geographic Location Thrissur, Kerala, India

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