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s19835/README.md

Maria Niranjan

Enthusiastic Coder with a Passion for Problem-Solving

I am a student passionate about backend engineering with a keen interest in integrating AI development into scalable systems. My technical toolkit includes Golang, JavaScript, Python, and associated frameworks and libraries, which I use to build efficient, robust applications.

Languages and Tools

Java Script

vscode

HTML

CSS

Tailwind

nodeJS

react

git

python

homebrew

notion

figma

chrome

postman

vitejs




Aspiring Programmer/ Coding Enthusiast

Projects:

  • house-price-prediction: Leveraging machine learning to estimate real estate values.
  • url-shortener-go: A performant URL shortener service written in Go.
  • pg-opt-toolkit: A toolkit for PostgreSQL optimization and management.

Interests:
Backend architecture, machine learning, automation, API design, cloud-native technologies, and exploring the intersection of data engineering and AI.

Always eager to learn, collaborate, and contribute to innovative projects at the intersection of backend development and artificial intelligence.

Pinned Loading

  1. job-queue-optimizer job-queue-optimizer Public

    Microservice-based job scheduling system using Spring Boot

    Java

  2. url-shortener-go url-shortener-go Public

    A URL shortener service built with Go, Redis (for caching), and PostgreSQL (for persistence). Designed for scalability, security, and deployment flexibility.

    Go

  3. pg-opt-toolkit pg-opt-toolkit Public

    This CLI tool helps database administrators and developers optimize PostgreSQL queries by analyzing execution plans, recommending improvements, and visualizing query execution paths.

    Go

  4. daily-email-report-javascript daily-email-report-javascript Public

    Using Node.js and the nodemailer package, automate daily email reports by writing a script to configure and send emails with attachments. The script can be scheduled to run daily using cron on Unix…

    JavaScript

  5. house-price-prediction house-price-prediction Public

    Using Kaggle’s House Prices: Advanced Regression Techniques dataset, Develop a machine learning model to predict house prices based on various features such as square footage, number of rooms, and …

    Jupyter Notebook

  6. gif-discord-bot gif-discord-bot Public

    A discord bot that provide gif from the query

    JavaScript