I will develop rest API, optimize database, and fix backend bugs


About this gig
Struggling with critical backend errors, broken APIs, or slow database queries?
I am Shawon, a Senior Backend Architect leading an engineering team. We specialize in building robust RESTful APIs, diagnosing root-cause backend bugs, and optimizing database performance for high-traffic production applications.
Core Tech Stack:
Node.js Ecosystem: Express.js, NestJS, Fastify, TypeScript
PHP Frameworks: Laravel, Symfony, Core PHP
Python: FastAPI, Django REST Framework
Databases & Caching: PostgreSQL, MySQL, Redis, MongoDB
Tools & Cloud: Docker, Postman, Swagger, AWS, Nginx
What We Deliver:
1. Urgent Bug Fixing: Resolve 500/502 server crashes, broken logic, and syntax errors.
2. Custom REST & GraphQL APIs: Secure endpoints integrated with JWT, OAuth2, and webhooks.
3. Database Tuning: Analyze slow queries, index missing keys, and resolve deadlocks.
4. Clean Architecture: Dockerized setup, detailed Swagger documentation, and postman tests.
Lets eliminate your technical bottlenecks. Please message me with your error logs or requirements before ordering!
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Get to know A B M Shawon
Senior Software Architect for SaaS, AI and Web Apps
- FromBangladesh
- Member sinceSep 2019
- Last delivery9 months
Languages
English
My Portfolio
FAQ
How quickly can you resolve an emergency 500 server error?
For critical production bugs or server crashes, our Basic tier guarantees rapid log triage, root-cause identification, and patch deployment within 24 hours.
Do you provide API documentation for frontend developers?
Yes, all custom API endpoints include comprehensive Swagger/OpenAPI interactive documentation and exportable Postman collections for effortless integration.
How do you test bug fixes without breaking our live system?
We never test on live production. We diagnose and reproduce issues locally or in a staging environment, write automated tests, and only push verified, non-breaking patches.
Can you optimize slow-running database queries?
Yes, we analyze execution plans, add strategic composite indexes, refactor heavy joins, and implement Redis caching layers to drastically reduce latency.
