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Aashish095/README.md

Hi, I'm Aashish Jain πŸ‘‹

Backend Engineer with experience building secure, scalable, and low-latency systemsβ€”primarily in fintech and insurance domains where correctness and reliability are critical.

I specialize in designing idempotent APIs, event-driven architectures, and high-throughput data systems that handle real-world scale without compromising performance.


🧠 About Me

  • πŸ”§ Backend-focused engineer with strong system design fundamentals
  • πŸ’³ Experienced in fintech systems (payments, authentication, fraud flows)
  • ⚑ Build low-latency APIs (~150ms) and scalable distributed services
  • πŸ“¦ Work with event-driven systems using Kafka & RabbitMQ
  • πŸ›  Strong in async processing, caching, and system optimization
  • ☁️ Hands-on with AWS, Docker, CI/CD pipelines
  • πŸ€– Actively leveraging AI tools for developer productivity

πŸ›  Tech Stack

πŸ’» Backend

  • Node.js, FastAPI, Django
  • REST APIs, Async workers, Background jobs

πŸ“© Messaging & Streaming

  • Kafka
  • RabbitMQ
  • Celery

πŸ—„ Databases

  • ScyllaDB
  • MySQL
  • PostgreSQL
  • MongoDB

⚑ Cache

  • Redis (high-scale caching, session handling)

🌐 Frontend

  • React, TypeScript, Tailwind

☁️ DevOps & Tools

  • Docker, AWS (EC2, S3, IAM)
  • CI/CD pipelines
  • Nginx, Git

πŸ€– AI Tools

  • GitHub Copilot
  • ChatGPT
  • Cursor
  • Claude

πŸ”₯ What I Build

  • πŸ’³ Idempotent payment systems (prevent duplicate transactions)
  • πŸ” Event-driven architectures for fraud detection & async workflows
  • ⚑ Low-latency backend services for high-frequency systems
  • πŸ“Š High-scale data pipelines
  • πŸ”„ Database migration & automation tools
  • πŸ” Secure authentication systems (OTP / 2FA)

πŸš€ Key Achievements

  • ⚑ Reduced API latency by 35% using optimized backend design
  • πŸ“ˆ Built systems handling 50K+ daily users with Redis scaling
  • πŸ”„ Processed 1M+ async jobs/month using Celery + RabbitMQ
  • πŸš€ Improved deployment efficiency by 40% using Docker & AWS
  • πŸ’³ Designed secure financial data flows with 99.9% uptime

πŸ—οΈ Engineering Philosophy

  • βœ”οΈ Design for scale first, optimize later
  • βœ”οΈ Ensure idempotency & correctness in financial systems
  • βœ”οΈ Prefer async + queue-based processing over blocking workflows
  • βœ”οΈ Write clean, testable, and maintainable code
  • βœ”οΈ Automate everything possible

πŸ“‚ Current Focus

  • Distributed system design
  • Event-driven microservices
  • Fintech-grade reliability engineering
  • AI-assisted development workflows

πŸ“« Connect With Me


⚑ Fun Fact

I enjoy solving complex backend problems where performance, scale, and correctness intersectβ€”especially in systems where one bug can cost real money.

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