Backend developer | Automation enthusiast | Python specialist

• 🎓 BTech in Software Engineering
• 🎓 BA in Information Technology
• 🧠 Focused on backend development, automation scripting, and API engineering
• 💡 Passionate about writing robust, testable, and secure Python code for real-world systems
• ⚡ Continuously learning cloud practices, frontend tooling, and ML foundations

Python, Java, JavaScript, C, SQL, HTML, CSS

Django, Flask, Spring Boot, Hibernate, JUnit, Selenium, PyTest, PyUnit, PyPDF2, openpyxl, BeautifulSoup, Bootstrap, Pandas, NumPy, scikit-learn

MySQL, PostgreSQL, SQLite

Git, GitHub, Postman, Pipenv, Docker (basic), Jira, Linux CLI, GCP, Wireshark, Bash, PowerShell, VS Code, PyCharm, AnyDesk, OTRS

React (Hooks/State), FastAPI, CI/CD, DevOps Basics

• Developed scalable RESTful APIs using Django and Spring Boot
• Integrated MySQL for performance, used Pipenv for environment control
• Automated UI and regression tests with Selenium, PyUnit, and PyTest
• Created Flask dashboards to track KPIs and reduce reporting delays
• Implemented secure authentication and API authorization
• Authored developer-friendly documentation and conducted peer code reviews

• Delivered L1/L2 IT support across departments, triaging incidents and scripting fixes
• Automated log parsing and issue reporting with Python
• Authored and updated internal knowledge base documents
• Tools: Jira, OTRS, Bash, PowerShell, Wireshark, MFA systems, CLI

• Built interactive widget designs and collaborated on user flows with devs

• Core Python: Data types, control flow, functions, classes, modules, file I/O
• Libraries: random, math, datetime, collections, sys, os, json, time
• Environment: pip, pipenv, .env management
• Packages Used: requests, BeautifulSoup, Selenium, openpyxl, PyPDF2, dotenv
• Concepts: API keys, CLI scripting, automation, error handling, file parsing, JSON
• ML Foundation (Intro): pandas, NumPy, scikit-learn, Jupyter Notebooks

• Scrapes RemoteOK API with requests and BeautifulSoup
• Saves output to CSV, viewable in a React frontend using PapaParse
• Features “Scrape Jobs” and “Download CSV” buttons
• Tech: Flask, React, CSV, HTML/CSS, Papaparse
• 🔗 View Repository

• Built a REST API to manage job applications
• CRUD operations using Flask, SQLAlchemy, and Postman testing
• Structured codebase with proper endpoint handling and SQLite backend
• 🔗 View Repository

• Automated water level detection system using MK2253 relay, Arduino, ESP8266
• Sends alerts via Telegram using Python bot integration

• Deployed full-stack messaging platform on a Linux VM with PostgreSQL & Apache
• Used for learning self-hosting, Linux admin, and backend provisioning