CM Nithin Raj
Open to work2 years experienceDevOps Engineer
DevOps Engineer with 2 years of experience managing AWS-based production infrastructure.
Standing Rank
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Skills & Technologies
21 skillsWork Experience
Cloud and Automations Engineer
GrowthClub.org
- Self-hosted and managed multiple high-traffic client websites, n8n instances, and internal analytics applications on AWS (EC2, VPC) and Azure (VM), supporting client pages generating hundreds of lead registrations per campaign.
- Deployed and operated 10+ containerized services using Docker and Nginx , configuring reverse proxy routing, HTTPS access, and Linux-based production environments for multiple client-facing applications
- Developed Jenkins CI/CD pipelines integrating GitHub, Docker, and AWS EC2 to enable automated build, containerization, and deployment of production client applications , reducing manual deployment effort by 60% and improving release reliability.
- Managed DNS and domain configurations using Cloudflare for multiple client domains, ensuring reliable routing, SSL/TLS management, and service accessibility.
- Standardized and automated AWS EC2 infrastructure deployment using Terraform, cutting manual provisioning overhead and improving scalability for onboarding new client environments.
- Monitored production infrastructure and application health using AWS CloudWatch, tracking logs and operational metrics to troubleshoot deployment failures and production incidents across cloud-hosted services.
- Built automation workflows integrating n8n, GoHighLevel (GHL) CRM , webinar platform (WebinarGeek), webhooks, and email/calendar triggers for CRM workflows , lead tracking & management, and sales pipeline automation, processing hundreds of combined executions daily.
- Led a three-member automation engineering team, overseeing workflow architecture, integration strategy, troubleshooting, and end-to-end delivery of production automation systems
Associate Software Engineer
Beinex Consulting
- Developed robust REST APIs using Django REST Framework to power the back-end for various features.
- Enhanced API performance by optimizing source code and implementing efficient data handling techniques, resulting in improved response times.
- Achieved a 40% reduction in API response times and significantly decreased load times by almost 60% through optimization verified through postman.
- Collaborated with cross-functional teams of developers and QA to fix bugs and ensure the seamless functioning of features.
- Streamlined API development and optimization processes, contributing to a more efficient and reliable back-end infrastructure.
Projects
Django Ecommerce API
- Developed a Dockerized Django-based Ecommerce platform with secure authentication, product management, and order processing capabilities.
- Built a CI/CD pipeline using GitHub Actions to automate testing, Docker image creation, vulnerability scanning, image signing with Cosign, and publishing to Amazon ECR and GHCR.
- Deployed the application on AWS EKS using Kubernetes Deployments, Services, ConfigMaps, Secrets, and hardened security contexts with non-root containers, read-only root filesystem, least-privilege RBAC, and Kyverno admission policies.
- Implemented GitOps-based continuous delivery using ArgoCD with automated synchronization, drift detection, self-healing, and integrated security gates including Semgrep (SAST), Trivy image/dependency scanning, and Gitleaks secret scanning.
Driver Drowsiness Detection and Automatic Alert System
- Developed an advanced system utilizing machine learning and AI image processing to monitor and analyze driver fatigue.
- Created and trained a custom AI model using TensorFlow and Keras to accurately detect signs of driver drowsiness achieving an accuracy above 90% .
- Implemented real-time alerts through audio and haptic feedback via the steering wheel to ensure driver safety.
- Leveraged technologies such as Python, TensorFlow, and OpenCV to build a reliable and responsive driver alert system.
Leaderboard Standings
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Assessment Highlights
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AI Collaboration Score
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Role Compatibility Profile
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Achievements
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About Details
Professional Bio
DevOps Engineer with 2 years of experience managing AWS-based production infrastructure, automating deployments, and building CI/CD pipelines. Skilled in Terraform, Docker, Linux, Kubernetes and Jenkins with hands-on experience provisioning cloud resources and operating reliable production systems.
B.Tech in Electronics and Communication Engineering
Rajagiri School of Engineering and Technology (2019 - 2023)