DevOps Engineer focused on Cloud, Kubernetes & Automation Building secure CI/CD pipelines with Jenkins, Trivy & SonarQube Terraform • Docker • Kafka • Git
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
distributed-ai-inference-pipeline
May 27, 2026 – Present
Event-driven distributed AI image processing pipeline using FastAPI, Kafka, gRPC, Docker, Kubernetes, MySQL, MongoDB, and AWS S3.
View Projectterraform-aks-platform
May 26, 2026 – Present
Terraform-based Azure AKS platform automation project provisioning Kubernetes infrastructure, CosmosDB, MySQL, ACR, Strimzi Kafka, Jenkins, and Kubernetes workloads using modular Infrastructure as Code.
View Projectjenkins-cicd-dev-to-prod-pipeline
May 26, 2026 – Present
jenkins-cicd-dev-to-prod-pipeline — GitHub repository
View Projectimage-classification
February 24, 2025 – February 24, 2025
image-classification — GitHub repository
View ProjectDevSecOps_implementation
August 20, 2024 – August 22, 2024
DevSecOps_implementation — GitHub repository
View ProjectMajor_DevOps_Project--FEM-HEAL
July 31, 2024 – August 2, 2025
This repository contains a valuable project for all DevOps learning enthusiasts.
View Projectdemo-docker-learning
July 23, 2024 – July 23, 2024
demo-docker-learning — GitHub repository
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong inclination towards modern DevOps practices and cloud-native development, which aligns with a Cloud DevOps Engineer role. The diversity of technologies used (Python, HCL, JavaScript, Docker, Kubernetes, Kafka, MySQL, MongoDB, AWS S3, Azure AKS) indicates a willingness to learn and adapt. However, the lack of professional experience or certifications makes it difficult to assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.