Aakash Nagaraju
Open to work2 years experienceDevOps Engineer
DevOps Engineer specializing in cloud infrastructure, CI/CD, and automation.
Standing Rank
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Skills & Technologies
22 skillsGitHub Activity Evidence
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Work Experience
Founding DevOps Engineer
Sr4Dx Private Limited
- Manage cloud infrastructure using CloudFormation, VPCs, Subnets, and Security Groups, reducing manual setup time by 15% and securing critical resources.
- Automated Docker-based deployments with GitHub Actions, reducing release time by 90%
- Implement security best practices by integrating Semgrep for SAST and Trivy for container image vulnerability scanning within CI/CD pipelines, enabling early detection and remediation of security risks.
- Configure and monitor systems using CloudWatch, improving visibility and reducing incident response time by 20%.
- Streamlined DevOps workflows, improving efficiency by 15–20% while ensuring secure, scalable infrastructure.
Database and Cloud Engineer
Freelancer
- Engaged in Database Design and defining cloud infrastructure along with CI/CD pipelines.
- This product has a client base consisting of 5 Small and Medium-sized Enterprises (SME’s).
Junior Cloud Engineer
Aaradhya Cloud Solutions
- My primary role involved in configuring and automation of setting up cloud infrastructure using CloudFormation.
- Configured and secured cloud environments using VPCs and Security Groups, ensuring proper network isolation and access control.
- Monitored application performance and availability via CloudWatch, ensuring quick response to issues and maintaining uptime.
- Assisted in deploying and managing applications with GitHub Actions, contributing to a streamlined CI/CD pipeline.
Projects
San-X
- Designed and implemented a scalable 3-tier AWS architecture for newly developed website.
- Developed and orchestrated an ETL Process using AWS Glue (For Data Migration) into CI/CD Pipeline.
- Implemented cross-region monitoring for Glue Jobs with automated notifications via Managed Grafana , reducing monitoring time by 50% and enabling teams to focus on critical tasks.
- Implemented Automated scheduled maintenance via Systems Manager, reducing the time spent to resize instances on specific dates from 1 hour to zero.
- Built custom AMIs using Packer and Terraform to optimize launch templates, improving provisioning consistency, reducing build complexity, and enabling faster environment deployments.
- Developed a centralized Grafana workspace for infrastructure monitoring, enhancing system observability, consolidating metrics, and reducing mean time to detect (MTTD) issues.
Advertising Management System
- Developed real-time responsive web application for an advertising company efficiently manages all outdoor advertising data.
Detection of Cancer Image
- Built a model for detecting cancerous cells in histopathological images using Computer Vision and Deep Learning techniques.
Kubernetes & GitOps Practice Project
- Deployed containerized applications using Kubernetes (kind), working with Deployments, Services, ConfigMaps, and Secrets.
- Created CI/CD workflows using GitHub Actions for automated application builds and deployments.
- Explored GitOps deployment practices using ArgoCD for Kubernetes application management.
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
Detection of Cancer Image Project Outcome
Achieved 98% accuracy in cancer detection using Computer Vision and Deep Learning techniques.
About Details
Professional Bio
DevOps Engineer with experience in cloud infrastructure automation, CI/CD pipelines, Infrastructure as Code, and containerized deployments. Skilled in Terraform, CloudFormation, GitHub Actions, Docker, monitoring, and security automation.
Bachelor of Technology in Computer Science & Engineering
Anil Neerukonda Institute of Technology and Sciences (2020 - 2024)