Rushabh Trivedi

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.

Software Development Engineer at CoinEarth Tech (2025-06 – 2025-11)

Developed backend systems for fintech products handling high-throughput requests in emerging markets

• 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

Python Django Developer | Software Developer at Polynomial AI (2024-11 – 2025-05)

Developed Django REST APIs and optimized infrastructure for invoice intelligence platform

• 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

B. Tech in Electrical Engineering – Government College of Engineering Amravati