🎓 Computer Science Engineering Student | Graduating 2027

I'm focused on Cloud Computing, DevOps, Linux Administration, Networking, and Backend Development.

I enjoy building practical systems, troubleshooting infrastructure failures, automating deployments, and understanding how applications run in production.

• ☁️ Exploring AWS cloud infrastructure and operations
• 🐧 Practicing Linux administration and troubleshooting
• 🐳 Building containerized applications with Docker
• ⚙️ Learning CI/CD and Infrastructure as Code
• 💻 Developing backend applications with Node.js and Python

• AWS EC2, VPC, S3, IAM
• Amazon ECR, ECS Fargate, Lambda
• AWS CloudWatch, SNS, Secrets Manager
• Public and private subnets, routing, NAT, and security groups

• Ubuntu/Linux administration
• SSH, systemd, journalctl
• Nginx, UFW, Bash
• TCP/IP, DNS, routing, and troubleshooting

• Docker and Docker Compose
• Git and GitHub
• GitHub Actions and CI/CD
• Container deployment and monitoring

• JavaScript and TypeScript
• Python and C++
• Node.js, Express.js, FastAPI
• REST APIs and Socket.IO

• PostgreSQL
• Redis
• TimescaleDB
• Supabase
• pgvector

Technologies: AWS ECS Fargate, ECR, ALB, CloudWatch, SNS, Docker

🔗 View Repository

• Deployed a containerized application on Amazon ECS Fargate behind an Application Load Balancer.
• Configured CloudWatch monitoring, centralized logging, alarms, and SNS notifications.
• Simulated application failures, HTTP 500 responses, and container image-pull failures.
• Investigated failures using logs, metrics, health checks, and AWS monitoring tools.
• Documented incident investigation, remediation, and recovery verification.

Key learning: Cloud monitoring, incident response, container operations, and troubleshooting.

Technologies: Linux, AWS EC2, Nginx, Node.js, PostgreSQL, UFW, systemd

🔗 View Repository

• Configured a Linux application server with SSH hardening and firewall rules.
• Set up Nginx as a reverse proxy for a Node.js application.
• Worked with PostgreSQL, systemd services, logs, and health checks.
• Practiced troubleshooting service failures, permissions, disk usage, and firewall issues.
• Documented investigation steps and recovery procedures.

Key learning: Linux administration, system troubleshooting, server security, and operational reliability.

Technologies: AWS, Docker, GitHub Actions, Amazon ECR, ECS

🔗 View Repository

• Developed a container-based application deployment project using AWS services.
• Worked with Docker and GitHub Actions for deployment automation.
• Maintained application code and pipeline configuration in Git.
• Explored repeatable deployment workflows and cloud infrastructure operations.

Key learning: Containerization, CI/CD, and AWS deployment workflows.

Technologies: Node.js, TypeScript, Docker, Redis, Socket.IO, AWS EC2

• Built backend services for isolated Docker environments.
• Implemented terminal communication using WebSockets and pseudo-terminals.
• Designed asynchronous grading using BullMQ and Redis.
• Implemented container resource limits and automatic idle-container cleanup.
• Deployed the application using AWS EC2, PM2, and Nginx.

Technologies: Python, FastAPI, PostgreSQL, pgvector, Gemini API, AWS S3, Lambda, ECS Fargate

• Built an asynchronous retrieval-augmented generation (RAG) document processing pipeline.
• Implemented document parsing, semantic chunking, and vector storage.
• Designed event-driven ingestion using S3 events, Lambda, and ECS Fargate.
• Integrated AWS IAM and Secrets Manager into the processing workflow.

Technologies: Node.js, Redis Streams, TimescaleDB, Socket.IO, React, Docker

• Built Linux agents to collect system metrics from /proc.
• Implemented metric streaming using Redis Streams.
• Developed statistical anomaly detection using z-scores.
• Integrated Slack alerts and time-series metric storage.
• Built a live monitoring dashboard with a JWT-secured REST API.

September 2025 – Present

• Contribute to backend services and REST APIs for the DevHost website.
• Support event workflows and user interactions.
• Collaborate with frontend and infrastructure contributors on integration and deployment.

• Deepen AWS networking, IAM, and cloud security.
• Improve Linux troubleshooting and system administration.
• Learn Terraform for Infrastructure as Code.
• Strengthen Docker, CI/CD, and deployment automation.
• Practice production-style monitoring and incident investigation.

• Participated in Smart India Hackathon 2025.
• Organized the "Loot and Load" BGMI LAN tournament at DevHost 2025, coordinating 120 participants across 30 teams.

• GitHub: YiVibro
• LinkedIn: [Add your LinkedIn profile URL here]
• LeetCode: YiVi

I'm interested in entry-level opportunities in Cloud Support, Cloud Engineering, Linux/Infrastructure Support, DevOps, and Backend Development.

I enjoy learning by building, troubleshooting, and documenting practical engineering projects.