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πŸ‘‹ Hi, I'm Kalpana Chinthareddy

πŸŽ“ Graduate Student | πŸ’» Software Engineer | πŸš€ Full-Stack & Automation Enthusiast
πŸ“ St. Louis, Missouri, USA

I’m passionate about building scalable web applications, automating workflows, and exploring AI-driven solutions.
Currently pursuing my Master’s in Computer Science at Saint Louis University, I enjoy blending creativity with logic to craft impactful digital experiences.


🌟 About Me

  • πŸ”­ I recently developed a Task Tracker Application with real-time chat and AI-based insights using Next.js and MongoDB.
  • 🌱 Learning more about Cloud Development, Microservices, and AI Integration.
  • βš™οΈ Experienced with Next.js, Python, Java, Flask, Spring Boot, Docker, Jenkins, and MongoDB.
  • πŸ’¬ Ask me about API Testing, CI/CD Pipelines, Automation Testing, or Full-Stack Development.
  • 🎯 Goal: To create reliable, intelligent, and user-friendly software systems.
  • πŸ’‘ Fun fact: I love cooking πŸ‘©β€πŸ³ and coding πŸ’» β€” both need patience and creativity!

🧠 Tech Stack

Languages: Python | Java | JavaScript | C++ | C | SQL
Frameworks: Next.js | React | Node.js | Flask | Spring Boot
Databases: MongoDB | MySQL | MS SQL
Tools & Platforms: Docker | AWS | Jenkins | Git | Jira | Kafka | Postman
Testing & CI/CD: Selenium | TestNG | Automation Testing | Shell Scripting | Maven


🧩 Featured Projects

Full-stack project inspired by Jira & Trello, built with Next.js, Node.js, MongoDB, featuring:

  • Project and task management
  • Real-time chat
  • AI-generated task summaries
  • Integrated CI/CD pipeline with GitHub Actions

🌾 Crop & Fertilizer Recommendation System

A machine learning-based system built with Flask & SciKit-Learn, achieving 90% accuracy in predicting optimal crop-fertilizer combinations using data from 2000+ farms.

πŸ” Port Scanner

A Python-based multi-threaded scanner for identifying open ports and running services, optimized to reduce scan time by 50%.


πŸ’Ό JPMorgan Chase & Co. Software Engineering Job Simulation – Forage

Completed a backend-focused simulation designed to mirror real-world software engineering work at JPMorgan Chase.
The project involved developing scalable microservices and implementing real-time data streaming.

Key Contributions:

  • Built and deployed RESTful microservices using Java and Spring Boot.
  • Integrated Apache Kafka for real-time message streaming between distributed services.
  • Designed and tested data producers and consumers to simulate financial transaction pipelines.
  • Improved reliability and throughput of data flow by fine-tuning Kafka configurations.
  • Followed industry practices for version control, logging, and exception handling.

Skills Gained: Java β€’ Spring Boot β€’ Kafka β€’ REST APIs β€’ Microservices Architecture β€’ Backend Optimization β€’ Event-driven Systems


πŸ… Certifications

  • ☁️ AWS Cloud Virtual Internship – AWS Academy
  • 🐍 Python Certification – HackerRank
  • πŸ’‘ Data Structures & Algorithms – Smart Interviews
  • 🌐 HTML/CSS Certification – Coursera
  • 🧩 JPMorgan Chase & Co. Software Engineering Job Simulation – Forage

πŸ† Highlights

  • πŸ₯‡ 1st Place – CSHACK2022 Hackathon
  • πŸ’‘ Teaching Assistant – Database Systems, Saint Louis University
  • 🧩 Solved 300+ coding problems on CodeChef, LeetCode, and HackerRank
  • 🌟 Project Leader & Placement Advisory Board Member – START Club

🌐 Connect with Me

πŸ“« Email: kalpanareddy331@gmail.com
πŸ§‘β€πŸ’» Portfolio: kalpanachinthareddy.github.io/Portfolio
πŸ™ GitHub: github.com/KalpanaChinthareddy


⭐️ β€œCode with purpose, build with passion.”

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