bash - sifat@dev-server
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Abstract high-tech neural network visualization
terminal

constabout_me={

role: "Full-stack Developer",

experience: "1.2+ Years Industrial Hands-On Experience",

passion: "Custom coded MERN architectures, Python AI servers, and DevOps automation",

summary: "Elite Full-Stack Developer with 1.2+ years of industrial hands-on experience engineering premium MERN architectures. Specialized in integrating custom python-based AI servers and establishing robust DevOps pipelines. A rapid learner who easily adopts any new technology and successfully leads junior developers in our agency to train and make them industry-ready.",

stack: [

ReactNext.jsNode.jsExpress.jsMongoDBPostgreSQLAWSDigitalOceanPythonN8N

]

database

Databases

MongoDB, Postgres

smart_toy

AI & Auto

RAG, Gemini, N8N

30+

Enterprise & Client Projects

High-performance MERN platforms, Python AI server integrations, and automated DevOps deployments.

}

~/logs $ git log --oneline

Founder & CEO

LazifyAI

2026 - Present

Architecting high-performance custom full-stack architectures and enterprise AI automations. Partnering with global clients to scale their products, integrate custom chatbot interfaces, and build dynamic automated analysis tools for business success.

Full-stack ArchitecturesAI AutomationsClient Support

Full-stack Developer

SparkTech Agency

April 2025 - Present
  • >Accumulated 1.2+ years of hands-on industrial experience specializing in MERN architectures (Next.js, Node.js, Express, MongoDB).
  • >Successfully integrated python-based AI intelligence and server-side analyzer systems into custom MERN client projects.
  • >Established advanced DevOps pipelines, configuring Nginx servers, SSL certificates, CI/CD integrations, and deployments on AWS & DigitalOcean.
  • >Successfully mentored and led junior developers at the agency, training them on industry-ready full-stack patterns.
  • >Extremely rapid technology adopter, seamlessly mastering and deploying new backend frameworks and developer tools.
MERN StackPython AI ServersDevOps & CI/CDLeadership

~/stack $ cat active_tech_stack.json

cat frontend.json
javascript

> Frontend Architecture

React95%
SPA & State Management
Next.js90%
Server-Side Rendering & App Router
Tailwind CSS80%
Utility-first Brutalist Styling
JavaScript (ES6+)80%
Asynchronous Core Logic
cat backend.py
dns

> Backend Systems

Node.js92%
Asynchronous Event-Driven Runtime
Express.js95%
REST API & Webhooks Routing
Socket.io70%
Real-Time Full-Duplex WebSockets
cat databases.sql
database

> Databases & ORMs

MongoDB78%
NoSQL Document Store
Mongoose78%
Data Modeling & Validation
PostgreSQL70%
Relational Database Engine
cat devops_infra.yml
cloud

> DevOps & Production Cloud

DigitalOcean75%
VPS Droplets & Networking
Nginx72%
Reverse Proxy & Load Balancing
AWS (EC2 / S3)70%
Elastic Compute & Cloud Storage
PM280%
Production Node Process Manager
cat pipeline.sh
account_tree

> CI/CD & Version Control

Git95%
Distributed Version Control
GitHub80%
Code Hosting & Collaboration
GitHub Actions70%
Automated CI/CD Workflows
cat workflow.json
settings_suggest

> Automation & Ecosystem

Postman80%
Endpoint Testing & Security Verification
N8N70%
Workflow Automation & APIs Integrations

~/projects $ ls -la projects/

lazify-platform.sh

Lazify AI Platform

Lead Architect

A premium enterprise-grade web automation service offering customized AI agents and serverless pipelines. Features robust SameAs JSON-LD optimizations for top-tier Google SEO.

Next.jsTailwindCloudinaryNode.js
> sh execute_lazify.sh
openclaw-bot.sh

Openclaw Discord Systems

Backend Architect

Advanced Node.js bot and webhook framework managing automated Discord guilds. Implements custom guild configurations, payment validations, and active webhook dispatch queues.

Node.jsExpressMongooseDiscord.js
> sh execute_openclaw.sh
exam-simulator.sh

AI Exam Practice Simulator

Full-stack Architect

A comprehensive quiz practice platform with Mongoose attempt tracking, responsive payment dashboards, and custom secure PDF download pathways.

ReactExpressMongoDBCloudinary
> sh execute_exam.sh