name: Vivek C Raj
role: Aspiring Software / Cloud & DevOps Engineer
education: MCA Final Year
location: Bengaluru, India
focus:
- Cloud Engineering
- DevOps & CI/CD
- Backend Development
- Linux & Automation
- Generative AI
currently_learning:
- AWS
- Docker
- Kubernetes
- Jenkins
- Terraform
- Spring Boot
- AI/LLM ApplicationsI'm an MCA Final Year student focused on building practical software, cloud, and DevOps projects.
I enjoy taking applications from source code β automation β infrastructure β deployment, while continuously improving my understanding of Linux, cloud platforms, containers, CI/CD, backend systems, and AI.
Software Engineering Β· Backend Development Β· Cloud Engineering Β· DevOps Β· SRE Β· System Engineering Β· GenAI
βββββββββββββββ
β GitHub β
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β
βββββββββββββββ
β Jenkins β
β CI/CD β
ββββββββ¬βββββββ
β
βββββββββββββββ
β Docker β
ββββββββ¬βββββββ
β
βββββββββββββββ
β AWS β
β EC2 / S3 / β
β EFS / IAM β
ββββββββ¬βββββββ
β
βββββββββββββββ
β Nginx β
ββββββββ¬βββββββ
β
βββββββββββββββ
β Application β
βββββββββββββββ
LLMs Β· Prompt Engineering Β· RAG Β· Vector Databases Β· AI APIs Β· AI Evaluation Β· Human-in-the-Loop
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Java Β· Spring Boot Β· MySQL Β· AWS EC2 REST API backend deployed on AWS.
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Bash Β· Linux Β· CLI Automation Lightweight Linux monitoring utility.
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AWS S3 Β· HTML Β· CSS Cloud-hosted static website demonstrating:
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Django Β· Python Β· MySQL Full-stack flower shopping platform.
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Python Β· YOLOv8 Β· OpenCV Β· Flask Β· NumPy
Computer vision application that detects and classifies waste from images.
Image
β
Preprocessing
β
YOLOv8
β
Object Detection
β
Classification
β
Confidence + Bounding Boxes
β
Waste Category
β
Segregation Recommendation
Categories:
Plastic Paper Metal Glass Organic E-Waste Others
LLM Evaluation Β· Prompt Engineering Β· Data Quality Β· HITL
Practical AI operations projects covering:
- AI response evaluation
- Correctness
- Clarity
- Completeness
- Grammar
- Safety
- Hallucination detection
- Data annotation quality
- Human-in-the-loop workflows
- Evaluation SOPs
| Project | Technologies |
|---|---|
| EC2 + Nginx Deployment | AWS EC2 Β· Ubuntu Β· Nginx Β· Security Groups |
| EFS Shared Storage | AWS EFS Β· EC2 Β· NFS |
| CI/CD Pipeline | AWS CodePipeline Β· Elastic Beanstalk Β· GitHub |
| Static Website | AWS S3 Β· HTML Β· CSS |
| Infrastructure as Code | Terraform Β· AWS |
| Backend Deployment | Spring Boot Β· Maven Β· EC2 |
- AWS Solutions Architect β MicroDegree
- DevOps Engineer β MicroDegree
- AWS Cloud Practitioner Essentials β AWS Skill Builder
- Linux Fundamentals
- Cisco Networking Basics β Cisco Networking Academy
-
Generative AI Engineer β MicroDegree
LLMsΒ·Prompt EngineeringΒ·RAGΒ·Vector DatabasesΒ·AI API Integration
CLOUD
βββ AWS
β βββ EC2
β βββ S3
β βββ IAM
β βββ VPC
β βββ EFS
β βββ Elastic Beanstalk
β
DEVOPS
βββ Git & GitHub
βββ Jenkins
βββ Docker
βββ Kubernetes
βββ Terraform
βββ CI/CD
β
BACKEND
βββ Java
βββ Spring Boot
βββ REST APIs
βββ MySQL
βββ Microservices Fundamentals
β
AI
βββ LLMs
βββ RAG
βββ Prompt Engineering
βββ Vector Databases
βββ AI Agents
- π Build production-oriented cloud projects
- βοΈ Deepen AWS architecture knowledge
- π Build end-to-end CI/CD pipelines
- π³ Strengthen Docker & Kubernetes
- ποΈ Automate infrastructure using Terraform
- π§ Improve Linux administration & troubleshooting
- β Build stronger backend engineering skills
- π€ Explore LLM applications and AI agents
- πΌ Start my professional journey in Software / Cloud / DevOps
I believe the strongest way to learn engineering is to build real systems, troubleshoot real problems, understand how the pieces connect, and continuously improve.

