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sainathchinta/README.md

👋 Hi! I'm Sainath Chinta

🧑‍💻 About Me
💻 Backend Developer | Microservices | High-Performance Systems 🚀 3+ years experience building scalable backend services for large-scale e-commerce systems (Blibli.com)

📫 Connect with Me

LinkedIn
✉️ Email: sainadhncc@gmail.com

💡 What I care about

⚡ Building high-performance, resilient backend systems — systems that stay fast, reliable, and production-ready under real-world load

🧩 Designing clean APIs & scalable architectures — simple, predictable, and elegant designs that scale as products grow

🎯 Delivering business-impactful solutions — engineering decisions that improve revenue, reliability, and user experience

👨‍💻 Creating great developer experience (DX) — readable codebases, clear standards, and automation that empowers teams

🚀 Continuous learning & craftsmanship — evolving as an engineer through experimentation, curiosity, and iteration

💻 Tech Stack

💬 Languages:
Java ☕ | Python 🐍 | C | C++ | SQL 🗄️ | HTML5 🌐 | CSS3 🎨

🗄️ Databases:
MongoDB 🍃 | PostgreSQL 🐘 | MySQL 🐬

☁️ Cloud Platforms:
GCP ☁️ | AWS 🔥 | Azure 🔷

🛠️ Developer Tools:
Git 🔧 | GitHub 🐙 | Docker 🐳 | Kubernetes ☸️ | Datadog 🐶 | Prometheus 📈 | Grafana 📊

📚 Libraries / Frameworks:
Spring Boot 🌱 | PyMongo 🍃 | Pandas 🐼 | NumPy 🔢 | Matplotlib 📊 | Scikit-Learn 🤖 | TensorFlow 🔺 | Keras 🧠 | PyTorch 🔥 | Flask 🍶

⚙️ General Skills:
Microservices 🏗️ | Scalability 📈 | OOP 🧩 | Multithreading ⏱️ | Design Patterns 🖋️ | Data Structures 📚 | Problem Solving 🕵️ | Data Visualization 📊 | Machine Learning 🤖

💻 IDEs / Editors:
Visual Studio Code 💻 | Jupyter Notebook 📓

🔍 What I'm Up To

  • 🏗️ Building large-scale distributed data pipelines
  • 🤖 Integrating AI/ML workflows with MongoDB & backend systems
  • ⚡ Optimizing backend performance and high availability
  • 📊 Exploring advanced topics in predictive analytics & trustworthy AI

✨ “Turning data into insights and building scalable systems that drive real-world impact.”

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  1. check-in-service check-in-service Public

    Backend microservice for employee check-in/check-out events with Kafka, email, and legacy system integration

    Java 1

  2. fitness-springboot-app fitness-springboot-app Public

    This project implements a Fitness Class Booking System, originally designed as part of an Interview Design Problem from PhonePe. The goal of the solution is to model a real-world booking workflow w…

    Java 1

  3. JobProcessingSystem JobProcessingSystem Public

    This is a Sample project built to solidify my understanding of asynchronous job processing, message-driven architecture, and Spring Boot microservices. It demonstrates: Using Kafka to queue and pro…

    Java 1

  4. Quinbay-Projects Quinbay-Projects Public

    This repository showcases a collection of projects and modules developed as part of professional experience at Quinbay Technologies (Blibli) E-commerce. It demonstrates expertise in building scalab…

    Java 1

  5. spring-oauth-loginpage spring-oauth-loginpage Public

    Implemented OAuth2 authorization in the Spring Boot application, allowing users to authenticate using their OAuth2 provider. Configured the security filter chain to handle OAuth2 login and form-bas…

    Java 1

  6. KMeans-Clustering KMeans-Clustering Public

    K-Means clustering example using Python and sample data set

    Python