A motivated and driven software engineer with a passion for innovation, I leverage expertise in Node.js, React, Python, and MongoDB to design and implement scalable backend solutions. At Lowe’s, I enhanced system efficiency by applying Python for data processing and automation, while utilizing MongoDB to deliver flexible, high-performance database solutions. My professional approach led to a 25% improvement in query performance, reflecting my commitment to optimizing both functionality and performance.
Languages: C#, C, Java, Python, JavaScript
Frameworks: React, Nodejs, Express, and Flask
Web Technologies: HTML, CSS, JavaScript, React, and RESTful APIs
Version Control: Git, GitHub, and Bitbucket
Database: MySQL, MongoDB, PostgreSQL
Operating system: Linux, Windows OS
Other Skills: Object-Oriented Programming (OOP), Data Structures
Node.js, Express, MongoDB & More: The Complete Bootcamp, Udemy, https://www.udemy.com/certificate/UC-c6796234-974f-4522-a9c1-5675547362df/
E-commerce Platform
Technologies: React.js, Node.js, Express, MongoDB, Git
· Designed and developed a full stack web application using React.js and Node.js
· Integrated features such as payments, secure user authentication.
· Utilized MongoDB for storing and handling data.
· Integrated RESTful APIs to handle user authentication, product data, and order management.
Weather Forecasting App
Technologies: Python, Django, MySQL, RESTful API
· Created a website where weather details from different locations were displayed.
· Utilized Machine Learning - Linear Regression process to predict future data.
· Developed a RESTful API for easy communication between the backend and frontend.