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rakshithav2004/README.md

Hi, I'm Rakshitha Bai V 👋

🎓 BE in Computer Science & Data Science — AMC Engineering College (CGPA: 9.2/10) 💼 Software Engineering Trainee @ Vonage (Part of Ericsson) 📍 Bangalore, India

🚀 About Me

Backend developer with hands-on experience building and testing production-grade REST APIs at scale. At Vonage, I work on a telecom billing platform that processes circa 1 billion API calls per month — contributing to API development, test automation, and microservices reliability.

I enjoy building clean, scalable backend systems and writing automated tests that actually catch bugs.

🛠 Tech Stack

Languages

Java Python

Backend

Spring Boot Spring Security REST API

Databases

MongoDB MySQL

Testing

Pytest JUnit Postman

DevOps & Tools

Docker Kubernetes GitHub Actions Git Swagger Redis

Current focus

Building:

  • Production-grade REST APIs using Java & Spring Boot
  • Scalable microservices with MongoDB and Redis caching
  • Secure authentication systems with JWT & Spring Security

Learning:

  • System Design & Scalable Architecture
  • AWS Cloud fundamentals
  • Advanced Java & Design Patterns

💼 Featured Projects

🎫 Customer Support Ticketing System

Spring Boot · Java 21 · MongoDB · Spring Security · Opaque Tokens · Docker

Secure backend ticketing system with role-based access control, 8+ REST APIs for full ticket lifecycle management, opaque token authentication, and Swagger UI documentation. Containerised with Docker.

📋 Job Application Tracker

Spring Boot · Java 17 · MongoDB · JWT · Maven · Swagger

10+ REST APIs for job application tracking with JWT authentication, BCrypt encryption, admin dashboard with system-wide statistics, and full OpenAPI 3.0 documentation via Swagger UI.

🐦 Hidden Narratives of Twitter Trends

Python · NLP · LDA · Streamlit · TextBlob · NLTK · Gensim

NLP-based topic modelling system to extract hidden themes from 10K+ Twitter records using LDA. Includes an interactive Streamlit dashboard for visualising topic trends and sentiment analysis.

🏏 IPL Data Analysis

Python · Pandas · NumPy · Matplotlib · Seaborn · Jupyter Notebook

Data analysis of Indian Premier League (IPL) matches to uncover team performance trends, player statistics, and match outcome patterns. Key insights include top batsmen by runs, team win/loss ratios across seasons, and factors influencing match results such as toss decisions and batting order.

👨‍💻 Engineering Philosophy

principles:

  • "Build it right, not just fast"
  • "Clean code is a love letter to your future self"
  • "Every API you ship is a contract — honour it"

📬 Connect With Me

LinkedIn Gmail GitHub

Popular repositories Loading

  1. ipl-data-analysis ipl-data-analysis Public

    Data analysis of Indian Premier League matches using Python to uncover the team performance, player statistics, and match insights

    Python

  2. Customer-Support-Ticketing-System Customer-Support-Ticketing-System Public

    Developed a role based customer ticketing system with opaque based authentication, REST API's and MongoDB Integration. Implemented end-to-end ticket lifecycle(CRUD, status management, comments) and…

    Java

  3. Hidden-Narratives-of-Twitter-Trends-Python-NLP-LDA- Hidden-Narratives-of-Twitter-Trends-Python-NLP-LDA- Public

    Twitter data analysis using Python, NLP, and streamlit for sentiment analysis and topic modelling

    Python

  4. job-application-tracker-backend job-application-tracker-backend Public

    Spring Boot Job Application Tracker API with JWT authentication, role-based access, MongoDB integration, Swagger documentation, and global exception handling.

    Java

  5. rakshithav2004 rakshithav2004 Public

    My GitHub profile README