Building Resilient & Automated Cloud Infrastructure
Aspiring DevOps Engineer with hands-on experience in Docker, Kubernetes, Terraform, and Jenkins. Proficient in AWS, Linux, and Git, with a strong foundation in CI/CD pipeline implementation. Driven by a passion for infrastructure automation, cloud technologies, and building resilient, scalable systems.
AWS Certified
Timeline Pipeline
Chronological deployment of professional experience and academic achievements.
Professional Summary
Bridging software engineering logic with infrastructure operations to deliver stable, automated release pipelines.
My work centers on writing reliable declarative configurations, provisioning secure container platforms, and orchestrating virtual networks in the cloud. I treat infrastructure as code and focus heavily on pipeline feedback loops to enhance deployment speeds and security postures.
DevOps & Python Intern
Pyspiders
- Practiced OOP scripting, system utilities design, and data integrations in Python.
- Containerized enterprise codebases with Docker, managed microservice clusters via Docker Compose, and simulated local Kubernetes setups.
- Provisioned, monitored, and scaled infrastructure pipelines on AWS using EC2, EKS, and S3.
Python Programming Intern
Codetech IT Solutions
- Developed automated tasks and text processing files in Python, improving code optimization.
- Engaged in version control integration checks and script testing loops.
B.E. in Artificial Intelligence & Data Science
KLE College of Engineering and Technology, Chikodi
Graduated with a cumulative CGPA of 8.13. Mastered principles of cloud infrastructure management, data science pipelines, database modeling, and machine learning pipelines.
Pre-University Science (PCMC)
KLE Independent PU Science College, Nipani
Completed pre-university education with a score of 86.5%. Specialized in Physics, Chemistry, Mathematics, and Computer Science.
SSLC / Secondary School Certification
KLE Society’s K.G & English Medium School, Nipani
Completed school board certification with 87.0%.
Technical Expertise
Proficiency matrix spanning automation engines, containers, and cloud nodes.
Cloud Platforms
AWS EC2
VPC Networking
EKS
S3 Storage
IAM Policies
CloudWatch
Containers & K8s
Automation & CI/CD
Languages & Shell
Observability
What I Offer
Delivering operations stability and fast deployment loops through standard cloud engineering.
Cloud Infrastructure
Provisioning and managing scalable AWS resources (EC2, VPC, EKS, S3, IAM) based on security practices and well-architected cloud design principles.
Containerization
Packaging development runtimes into standard Docker layers. Deploying enterprise clusters, Helm charts, ingress rules, and configurations in Kubernetes environments.
Pipeline Integration
Writing declarative integrations using GitHub Actions and Jenkins automation to execute testing, quality analysis, and deployment steps automatically.
System Automation
Drafting scripts in Python and Bash for operations automation, server configurations, database log rotations, and infrastructure scripting.
Observability Integration
Configuring metrics collection engines (Prometheus) and visualizing real-time metrics across dynamic Grafana Dashboards to track infrastructure load factors.
What I've Built
Practical cloud deployments, automation pipelines, and containerized architectures.
2048 Game Deployment on AWS EKS
Deployed a fully containerized version of the 2048 game on Amazon EKS with serverless Fargate profiles. Handled web traffic via AWS Load Balancer Controller and ALB Ingress rules.
Containerized 3-Tier Web Application
Orchestrated a highly functional, multi-container e-commerce site featuring a dynamic Flask backend, interactive HTML/JS frontends, and a relational MySQL database server.
AI-Powered Virtual Keyboard
Engineered an interactive vision application that detects real-time human hand motions and mimics a physical keyboard on screen, letting users type without touch.
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Contact Information
Feel free to connect for open positions, projects discussions, or general feedback.