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vinitajain1/README.md

👋 Hi, I'm Vinita

Software Engineer | Building scalable platforms that solve real problems

I design and build backend systems that handle millions of users and process high-volume data. Currently crafting enterprise AI-driven solutions at C3.ai, previously scaled e-commerce platforms at Flipkart.

I love solving: Complex workflow orchestration • Real-time data processing at scale • Distributed job scheduling • Multi-tenant system architecture • High-availability challenges • Performance optimization across distributed databases

🚀 What I Do

  • Build distributed systems that process high volume data across PostgreSQL, Cassandra, and cloud platforms
  • Ship features that matter — my work has driven $26M+ in business impact and serves millions of users
  • Solve complex problems — from real-time inventory optimization to cross-platform mobile apps
  • Leverage AI strategically — using Cursor, Claude, and custom MCP servers to accelerate development

💻 Currently learning and building

💻 Tech Stack

Languages: Python • Java • JavaScript • TypeScript

Backend: FastAPI • PostgreSQL • Cassandra • Flask • Spring Boot • Node.js

Frontend: React • React Native • Redux

Cloud & DevOps: AWS • Kubernetes • Docker • CI/CD

AI Tools: Cursor • Claude • FastMCP • RAG • LangChain

Data: SQL • NoSQL • Kafka • OpenSearch • Redis

📫 Let's Connect

LinkedIn Email

Currently: Open to challenging opportunities in distributed systems, backend engineering, and Fullstack development

Pinned Loading

  1. Machine-Learning Machine-Learning Public

    Python

  2. nodejs-task-manager nodejs-task-manager Public

    JavaScript

  3. tenex-security-log tenex-security-log Public

    TypeScript

  4. DBLens-MCP DBLens-MCP Public

    A local MCP server that lets an AI assistant inspect and query multiple local SQLite databases safely.

    Python

  5. InventoryGPT InventoryGPT Public

    An AI-powered inventory optimization knowledge assistant

    Python

  6. k8s-sandbox k8s-sandbox Public

    A hands-on playground of Kubernetes YAMLs and examples for learning, testing, and experimenting with core K8s concepts.