rushabh trivedi

rushabh trivedi

Hyderabad, India

rushabh trivedi

Backend Heavy Full Stack Developer
Category : Web development
I am an innovative Software Development Engineer with specialized expertise in Python (Django/FastAPI) and Node.js (MERN) backend architectures. Proven track record in building scalable microservices, high-throughput Fintech payment gateways, and AI-driven document intelligence systems. Expert in PostgreSQL, Redis, and AWS integrations, with a focus on delivering event-driven solutions for high-concurrency environments.

Working hours

  • Monday:08h00 To 18h00
  • Tuesday:08h00 To 18h00
  • Wednesday:08h00 To 18h00
  • Thursday:08h00 To 18h00
  • Friday:08h00 To 18h00
  • Saturday:Not available
  • Sunday:Not available
• Developed backend systems for fintech products Paycio and Indoex, overseeing 20+ microservices and their APIs to handle high-throughput requests in emerging markets.
• Created scalable APIs using Node.js/Express.js + SQL for authentication, KYC, multi-currency wallets, deposits, withdrawals, and settlements with a focus on modular architecture.
• Utilized Redis for caching strategies, rate limiting, and message brokering to optimize system performance and ensuring database reliability.
• Implemented real-time bidirectional communication with Socket.IO for live updates and notifications in live order books and trade executions.
• Developed over 20 new Django REST APIs and improved more than 35 existing Django-based APIs with PostgreSQL for Clickbacon’s flagship invoice intelligence platform, emphasizing modularization and clean architecture.
• Optimized infrastructure using Docker containerization, AWS SDK for cloud integrations, and Celery for efficient asynchronous event handling.
• Created Grafana dashboards utilizing custom SQL queries to monitor system data in real-time.
• Implemented a proof-of-concept OpenAI CLIP-based document identification system that successfully filters out 1000+ false documents monthly, focusing on optimal efficiency.
• Innovated a method resulting in 1000 times faster OCR processing for specific documents by implementing targeted conditional logic with the PyMuPDF (fitz) library.
• Ensured the stability of data migration systems through comprehensive testing and debugging processes.
  • 🇬🇧 English
  • 🇮🇳 Hindi
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