Hi, I'm Avinash
DevOps Engineer focused on automating cloud infrastructure and delivery pipelines using Docker, Kubernetes, Terraform, and CI/CD. Hands-on experience with Linux and AWS, building reliable, reproducible, production-ready systems.
About Me
DevOps Engineer & Cloud Developer
I'm Avinash Rajure, a final-year B.Tech student at GRIET, Hyderabad, with a strong interest in DevOps and cloud engineering. I focus on understanding and building automated, scalable infrastructure using Docker, Kubernetes, and Terraform on Linux-based systems.
I previously interned as a Software Development Intern at Will2Care (IGENWILL Pvt. Ltd.), where I worked on full-stack applications, backend performance improvements, and cloud deployments on AWS. As the Technical Lead at the Free Software Wing (FSW), I led student developer teams, built event platforms, and handled deployment and hosting responsibilities while promoting open-source software.
Languages
English
Hindi
Telugu
Marathi
Education
B.Tech in AI and Machine Learning
Gokaraju Rangaraju Institute of Engineering and Technology (2022–2026)
Intermediate in MPC
Vidya Vikas Junior College, Bodhan
My Skills
Cloud & Infrastructure
Containers & Orchestration
Infrastructure as Code & Automation
CI/CD & DevOps Tooling
Monitoring & Observability
Backend & APIs
Developer & AI Tooling
Work Experience
Software Development Intern
Will2Care (IGENWILL Pvt. Ltd.), Hyderabad
Key Achievements:
- Developed and maintained production-grade web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js).
- Optimized backend APIs for scalability and reliability, implementing authentication, file handling, and secure communication layers.
- Worked with GitHub Actions and Docker to support deployment workflows targeting AWS EC2 environments.
- Collaborated in Agile sprints to deliver responsive, feature-rich interfaces, improving overall system performance and usability.
- Applied containerized development and automation practices to improve release consistency and deployment stability.
Technical Lead
Free Software Wing (FSW), GRIET, Hyderabad
Key Achievements:
- Led a technical team of 10–15 developers to build and maintain MERN-based platforms for large-scale college events.
- Designed and deployed full-stack applications using AWS and Docker, focusing on reliability and maintainability.
- Organized and managed national-level events including FOSSFest and 24-hour hackathons with 400+ participants.
- Mentored 50+ students in web development fundamentals, Git workflows and backend design.
- Promoted free and open-source software through workshops, collaborative projects, and community-driven initiatives.
Education
Bachelor of Technology in Artificial Intelligence and Machine Learning
Gokaraju Rangaraju Institute of Engineering and Technology (GRIET)
Hyderabad
Intermediate in MPC (Maths, Physics, Chemistry)
Vidya Vikas Junior College
Bodhan
Projects
AutoKube – Automated Kubernetes Cluster with Ansible
An automated multi-node Kubernetes cluster orchestration project using Ansible and kubeadm. Provisions a production-style control plane and worker nodes on AWS EC2 with fully idempotent, role-based automation. The entire cluster lifecycle is managed through a single master playbook, ensuring safe execution order and dynamic worker node joining.
DevOps Local Lab Platform
A fully automated local DevOps platform that provisions a production-like Kubernetes environment on a laptop. Built using Docker, kind, a local container registry, and Argo CD, with a single CLI to manage the entire lifecycle (up, down, status, destroy). Designed to understand real-world DevOps concepts like registry mirrors, GitOps, idempotency, and infrastructure automation.
WhatsApp → Notion AI Bridge
A smart placement message parser that uses whatsapp-web.js and a local LLM (Mistral via Ollama) to extract structured data from WhatsApp and sync it to a Notion dashboard. Designed for campus placement automation - built in a day, runs fully offline.
NIDS
Real-time Network Intrusion Detection System using Scapy and XGBoost with a live React dashboard. Captures live network packets, classifies them as normal or malicious, and visualizes results instantly. Fully containerized and deployable using Docker.
