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About Me
Motivated and detail-oriented Junior Linux System Administrator with hands-on experience in Red Hat Enterprise Linux (RHEL 9), Ansible automation, and containerization basics using Docker.
Skilled in configuring, managing, and troubleshooting Linux systems with practical experience gained through academic projects. Passionate about building reliable and automated infrastructure, eager to contribute to DevOps and system administration roles.
B.Tech graduate in Artificial Intelligence & Machine Learning from DMIHER University, IEEE author of 6 research publications in AI, healthcare and edge computing, and certified by Red Hat Academy.
RHEL 9
Expertise
6 IEEE Papers
Publications
Docker
Containers
SELinux
Security
Experience & Education
Experience
Linux System Administration Projects
DMIHER University
RHEL 9 server management, storage (LVM/RAID), security (SELinux, firewalld), Ansible automation and containerization with Docker.
IEEE Research & Publications
IEEE Xplore
6 peer-reviewed IEEE papers spanning deep learning (CNN, YOLOv8), machine learning for healthcare, IoT and blockchain.
Certified System & Automation Skills
Credly Badges
RH124, RH294 and DO180 professional certifications verified by Red Hat Academy.
Education
Artificial Intelligence & Machine Learning
DMIHER University
Specialised in AI/ML with a strong research focus, publishing multiple IEEE papers during the program.
Red Hat System & OpenShift Administration
Red Hat Academy
Formal training in Linux administration, Ansible automation and container orchestration with OpenShift.
CCTV Attendance System — SkyHighes Technology
Industry Case Study
Automated employee attendance using computer vision, published as an IEEE paper.
Technical Skills
Linux Administration • Automation • Cloud & Containers • AI & Research
Proficiency
RHEL 9
Shell Scripting
Ansible
Docker
LVM/RAID
firewalld
Deep Learning
CNN / YOLOv8
Python
Research & Publications
IEEE Xplore published research papers in AI, healthcare, and edge computing
IEEE Xplore Profile
Browse my author page →
Google Scholar
Citations & metrics →
ResearchGate
Scientific contributions →
Early Detection and Multiclass Classification of Skin Diseases Using CNN-Based Deep Learning Model
Deep Learning • CNN • Medical Imaging
Comparative Evaluation of Supervised Machine-Learning Algorithms for Early Parkinson's Disease Prediction from Voice Data
Machine Learning • Healthcare • Voice Analysis
Artificial Intelligence and Blockchain Technology in Future Direction
AI • Blockchain • Future Technologies
Real-Time Hospital Hygiene Surveillance Using Dual YOLOv8 Detection-Segmentation on Edge AI
Edge AI • YOLOv8 • Computer Vision
CCTV-Based Automated Attendance System with Employee Data Dashboard: A Case Study at SkyHighes Technology
Computer Vision • Face Recognition • Dashboards
IoT and the Future of Healthcare: Revolutionizing Remote Patient Monitoring
IoT • Healthcare • Remote Monitoring
Projects & Builds
Open-source builds — Linux labs, automation & AI tooling
LinuxLab — Cloud Linux Lab
Production-ready Linux administration & DevOps lab. Students practice on real isolated Linux containers in the browser with AI hints, auto-evaluation and permanent learning history.
Face-Recognition Attendance App
Flask web app with FaceNet embeddings + SVM classifier and OpenCV face detection that marks attendance automatically from CCTV/webcam frames and logs it to a dashboard.
Python Efficiency Analyzer
Streamlit profiler that runs your Python script under cProfile, parses the AST, and reports the slowest functions, execution time and optimization hints in a clean dashboard.
Certifications
Red Hat Academy verified credentials
Get In Touch
Open to junior Linux administrator roles, DevOps opportunities & research collaborations