Software engineer building runtimes, developer tools, and systems.
I focus on the layers beneath user-facing applications: execution engines, developer tooling, local-first platforms, APIs, and automation. Currently I’m building Neuron, a programmable execution platform for turning systems and services into running software.
A runtime and developer platform for turning systems and services into executable software. The goal is to make complex systems easier to define, run, inspect, and operate without forcing teams to build the underlying execution infrastructure.
Work in progress:
- N.O.R.E. (Neuron runtime and execution engine)
- system and project resolution
- execution and instance management
- real-time event and log streaming
- local and remote runtime communication
- executor discovery and management
- persistent runtime state and tooling
Explore Neuron: https://github.com/Muhammad-Jay/neuron
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Neuron — programmable runtime and execution platform.
https://github.com/Muhammad-Jay/neuron -
Jaguar — local-first development platform with CLI, API, and desktop tooling.
https://github.com/Muhammad-Jay/Jaguar -
GitFlowAI — cross-platform CLI that uses AI to analyze local Git changes and suggest actions.
https://github.com/Muhammad-Jay/Git-Flow-AI -
Lazarus — tooling and automation for managing cloud infrastructure and microservice architectures.
https://github.com/Muhammad-Jay/Lazarus-Cloud-Automation-Platform
- Runtime and execution systems
- Developer tooling and CLI workflows
- Local-first and distributed systems
- Observability, streaming, and event-driven architectures
- AI-assisted development and automation
- System design and developer experience
I start from the system, not the framework:
- Understand the problem and boundaries
- Build the smallest useful runtime
- Make behavior observable
- Expand capabilities with tooling and automation
- GitHub: https://github.com/Muhammad-Jay
- LinkedIn: https://www.linkedin.com/in/muhammed-awaisu-ahmed/
- Email: muhammed.awaisu.ahmed@gmail.com
Building systems, learning by building, and making complicated software easier to reason about.
