I'm Harsh Makwana

I'm a backend engineer with 6+ years of experience shipping production systems that run at scale. I work mostly in the infrastructure layer — distributed architectures, event-driven pipelines, microservice orchestration, and cloud systems that need to stay reliable under real-world pressure.

My go-to stack is Node.js, NestJS, PostgreSQL, gRPC, RabbitMQ, Python, AWS, and Docker. A lot of my deeper work happens at the intersection of infrastructure and product — the kind of systems where latency, fault tolerance, and scale actually matter.

Currently at Simform Solutions, where I lead backend platform architecture and mentor engineers on distributed system design.

I treat AI as a collaborator, not a shortcut — for architectural exploration, rapid prototyping, and debugging complex system behavior, the parts of engineering where a second perspective actually moves things forward.

In practice that means pairing with it directly in my editor for scaffolding and code review, and running it through structured prompts for system-design tradeoffs. It's changed how fast I can go from a rough idea to something working, without cutting corners on how it's built.

On-Demand GPU Game Streaming Completed — an end-to-end streaming platform for Unreal Engine games with under 60-second GPU provisioning. Built a FastAPI service to orchestrate FFmpeg/NVENC pipelines and an EC2 orchestrator with multi-AZ failover and event-driven instance lifecycle automation via RabbitMQ.

Authority Delegation Platform In Progress — a microservices-based authority delegation system architected from scratch, with a shared gRPC infrastructure layer and per-service Temporal workflows for reliable, long-running jobs.

🌱 Terrace gardening — I grow vegetables, herbs, and flowering plants on my terrace, a good way to disconnect after days spent designing systems that move fast.

✈️ Travelling — new environments have a way of resetting how I think about problems, and some of my clearest ideas about system design have come from being somewhere completely different from a screen.

I'm always happy to talk AI usage patterns, tools, plugins, and workflows, or distributed systems and cloud-native solutions. Reach out via email, GitHub, or LinkedIn — links are up top and below.