# Navin Sharma – Backend Systems

> I own sytems while Working on it.

- Canonical listing: https://agencysource.com/agencies/navin-sharma-backend-systems
- Categories: [Custom Software Development](https://agencysource.com/categories/custom-software-development), [AI & LLM Development](https://agencysource.com/categories/ai-development), [Ecommerce Development](https://agencysource.com/categories/ecommerce-development), [Mobile App Development](https://agencysource.com/categories/mobile-app-development)
- Services: AI Development, API Development, Mobile App Development, Custom Software Development, E-Commerce Development, Generative AI, IoT Development, Microservices Architecture Services, Application Management & Support
- Team size: Freelancer
- Hourly rate: $25 - $49 / hr
- Minimum project: Undisclosed
- Founded: 2018
- Website: https://www.myfadugame.com
- Listing: Not yet claimed
- Agency Source rating: no Agency Source reviews yet

## About

I don't just write code. I own systems. This means being accountable for everything from initial architecture decisions to monitoring in production, performance during peak load, and conducting thorough post-mortems when things fail.

Ownership means understanding that every line of code has operational consequences. It means designing with failure in mind, building observability from day one, and being the one paged when the system alerts at 3 AM.

In 8+ years of production systems, I've learned that reliability is earned through ownership, not delegated through responsibility matrices.

The latest framework might be exciting, but PostgreSQL has handled transactions for decades. Kubernetes might be complex, but it orchestrates containers predictably at scale. I choose proven over trendy for critical systems.

This doesn't mean stagnation. It means carefully evaluating new technologies against production requirements: community support, battle-testing at scale, operational complexity, and failure modes we understand.

The most innovative system is useless if it fails under load. The most elegant architecture is worthless if no one can operate it at 3 AM during an incident.

Performance isn't an optimization phase—it's a first-class requirement from day one. Every architectural decision is evaluated against its performance implications: latency budgets, throughput requirements, resource efficiency.

I build with observability baked in: metrics for every critical path, tracing for distributed requests, logging that actually helps debugging. Performance regressions are caught in CI, not reported by users.

Fast systems aren't just technically superior—they're more reliable, more scalable, and cheaper to operate. Performance engineering is cost engineering.

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