/bin/bash --login

█

> whoami

.----------------. | >_ root@4nkit | | | | SYSTEM RDY | | [||||||||] | | | '----------------' |______| [ ============= ]

USER: 4nkit

CLASS: Full Stack Dev

UPTIME: 99.9%

System Status: OPERATIONAL


I am a software engineer focused on backend architecture and scalable systems. I prefer clean code over complex abstractions and terminal commands over GUIs.


Current Objective: Building robust tools that automate the boring stuff.

> ./check_modules.py

// 01_CORE_SYSTEMS

C / C++
Java
Python
Git
SQL

// 02_BACKEND_INFRA

Django
Flask
Node.js
Express
SpringBoot

// 03_FRONTEND_UI

HTML5 / CSS3
JavaScript
React.js

> cat /var/log/education

[2021-2025] STATUS: COMPLETED

SRM Institute of Science and Technology

> B.Tech in Computer Science and Engineering

> Final Score (CGPA): 9.13 / 10.0

// Graduation successful. Ready for deployment.

> git log --graph --oneline

#8f3a2c Current

TCS (Tata Consultancy Services)

Role: Assistant System Engineer

  • + Integrated Python/Django middleware for internal tools.
  • + Automated ETQ API data fetching workflows.
  • + Optimized SQL queries reducing load times by 40%.
  • + Collaborated in Agile/Scrum environment.
#init00 // Career initialized...

> ls -l ~/projects/

4nkit@dev:~/projects/text_editor $ cat README.md

Text Editor in C

A lightweight, terminal-based text editor built from scratch using raw mode input processing.

[ C ] [ Make ] [ Unix APIs ]

> view_source_code
4nkit@dev:~/projects/django_app $ cat description.txt

Django Web App

Scalable web application featuring custom user authentication and PostgreSQL integration.

[ Django ] [ Python ] [ SQL ]

> view_source_code
4nkit@dev:~/projects/react_dashboard $ npm start

React Dashboard

Interactive dashboard visualizing real-time data with responsive components.

[ React ] [ Node ] [ Chart.js ]

> view_source_code
4nkit@dev:~/projects/devops_cli $ python3 main.py --help

DevOps CLI Tool

Automation CLI to scaffold projects and manage local docker containers efficiently.

[ Python ] [ Docker ] [ Click ]

> view_source_code

> ./send_packet.sh