I build web applications, cloud infrastructure, and automation systems with a focus on practical engineering, deployment, and reliability.

Currently exploring the intersection of Full Stack Development, AWS/DevOps, and AI-powered applications.

I'm currently focused on becoming a stronger production-oriented engineer rather than just learning individual technologies.

                    SOFTWARE ENGINEERING
                           │
          ┌────────────────┼────────────────┐
          │                │                │
     Full Stack          Cloud           AI Systems
          │                │                │
    React / Node       AWS / Linux      RAG / Agents
    REST APIs          Docker           AI APIs
    MongoDB / SQL      CI/CD            Automation
          │                │                │
          └────────────────┼────────────────┘
                           │
                    Production Systems

• ☁️ AWS & Cloud Engineering
• ⚙️ DevOps & CI/CD
• 🐳 Docker & Linux
• 🔄 Jenkins & GitHub Actions
• 🌐 Full Stack / MERN
• 🤖 AI Integration, RAG & Agentic Systems
• 🏗️ System Design & Distributed Systems
• 🔐 Cloud Security & Automated Incident Response

An event-driven AWS security system that detects suspicious cloud activity and automatically responds to selected threats.

AWS: CloudTrail · CloudWatch · EventBridge · Lambda · SNS · S3 · DynamoDB

Highlights

• Rule-based cloud threat detection
• Multiple severity levels
• Automated incident response
• Security event storage
• Event-driven architecture
• AWS-native serverless workflow

Turning cloud security events into automated detection and response.

A hands-on AWS infrastructure project focused on machine recovery, automation and operational resilience.

AWS: EC2 · Launch Templates · EBS · SSM · CloudWatch · IAM

Highlights

• Golden AMI based recovery
• EC2 automation using AWS CLI
• IMDSv2
• EBS snapshots
• Launch Templates
• Automated recovery workflow
• Recovery-time measurement

Built to understand what happens when infrastructure fails — and how to recover it.

A MERN-based social blogging platform with multiple user roles and personalized content feeds.

Stack

React 19 Vite Node.js Express MongoDB Redux Toolkit React Query Tailwind CSS Cloudinary

Features

• Authentication and authorization
• User / Author / Admin roles
• Follow system
• Personalized feeds
• For-you feed
• Likes, comments and saves
• Cloudinary media handling
• Admin content restrictions

An AI-assisted career platform built during a 24-hour college hackathon, where our team won 1st Prize.

Focus: AI · Backend · Career Assistance · Job Recommendations

My contribution included backend development and AI architecture.

The system combines AI-based evaluation with job/API integrations to assist students with career preparation.

EC2 · S3 · CloudFront · Lambda · CloudTrail · CloudWatch · EventBridge · SNS · DynamoDB · IAM · SSM · EBS

RAG · LLM APIs · Agentic AI · Ollama · REST APIs · Git · GitHub · VS Code · Groq APIs . Postman

I'm particularly interested in how software moves from code → infrastructure → production.

Code
 ↓
Git
 ↓
CI
 ↓
Tests
 ↓
Build
 ↓
Docker
 ↓
CD
 ↓
Cloud Infrastructure
 ↓
Monitoring
 ↓
Security
 ↓
Automated Recovery

Areas I'm actively learning:

• Infrastructure as Code
• CI/CD architecture
• Containerization
• Linux administration
• Cloud networking
• AWS architecture
• Observability
• Security automation
• System design
• AI-assisted developer workflows

I'm exploring AI primarily from an application engineering perspective.

Rather than focusing only on model training, I'm interested in how AI can become part of real software systems.

• Retrieval-Augmented Generation
• Agentic workflows
• Context engineering
• Local LLMs with Ollama
• Embeddings & vector similarity
• AI-powered REST APIs
• Tool-using agents
• AI automation
• Developer productivity workflows

My goal:

Build systems where AI is a useful engineering component, not just a chatbot.

AWS
 ├── Cloud Architecture
 ├── Networking
 ├── Security
 └── Reliability

DevOps
 ├── Linux
 ├── Docker
 ├── Jenkins
 ├── CI/CD
 └── Infrastructure as Code

Software Engineering
 ├── System Design
 ├── REST APIs
 ├── Databases
 └── Distributed Systems

AI Engineering
 ├── RAG
 ├── Agents
 ├── LLM APIs
 └── Context Engineering

I like learning by building and troubleshooting.

Instead of stopping at:

"I know how Docker works."

I want to reach:

"I can diagnose why a container failed in production."

Instead of:

"I know AWS services."

I want to understand:

"How do these services work together to build a reliable system?"

And instead of:

"I can call an LLM API."

I want to build:

"A useful software system where AI solves a real part of the workflow."

Web Development
      ↓
Full Stack Applications
      ↓
REST APIs & Databases
      ↓
AWS & Cloud
      ↓
Linux & Docker
      ↓
CI/CD & DevOps
      ↓
Cloud Security & Automation
      ↓
AI Integration & RAG
      ↓
Production-Oriented Engineering

• 🥇 1st Prize — 24-Hour College Hackathon
• ☁️ Built hands-on AWS infrastructure and security projects
• 🐳 Practicing Docker across different application environments
• 🔄 Building CI/CD pipelines with Jenkins and GitHub Actions
• 🤖 Exploring RAG and agentic AI systems
• 💻 Building full-stack applications with the MERN ecosystem
• 🧩 Practicing DSA and problem solving for technical interviews

I'm interested in opportunities where I can work on:

Full Stack Development · Cloud Engineering · DevOps · Backend Systems · AI Integration

Especially environments where I can work close to real infrastructure, deployment, automation, and production systems.

LinkedIn  ·  Email

Build. Break. Debug. Automate. Repeat.

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