Software Engineer working across mobile (Apple ecosystem), backend and developer tooling, with a bias for production-grade systems where reliability, observability and execution integrity come first.

I build tools that help developers think better, ship safer and reduce chaos — and I research how critical software behavior can be made auditable, resilient and verifiable.

AURYA is the strategic core — research and engineering around software trust infrastructure, AI security and verifiable execution. Orbit is the operational layer — practical tools that turn that discipline into day-to-day engineering.

AURYA is the strategic core of my work in software trust infrastructure, AI security and verifiable execution.

It is built around a simple principle: trust should not depend on claims. It should be supported by evidence, traceability, governance, fail-closed behavior and disciplined engineering practices.

AURYA explores how critical software behavior can become more observable, auditable and resilient as systems grow in complexity, especially in environments where automation, AI-assisted workflows and operational decisions need stronger trust boundaries.

Current focus areas include:

• Software trust infrastructure
• AI security boundaries
• Verifiable execution
• Evidence-oriented engineering
• Governance-driven workflows
• Fail-closed system design
• Trustworthy software behavior

Claude Code skill that turns rough requests into structured, execution-ready prompts.

Enforces clarity before execution:

• Objective definition
• Context refinement
• Constraint enforcement
• Risk visibility
• Acceptance criteria

Pull request governance skill for disciplined engineering workflows.

Enforces: branch hygiene · CI green before merge · simultaneous PR limits · auto-merge defaults · evidence proportional to risk.

Fail-closed CLI for developer observability, execution integrity and decision quality.

Built for developers who care about:

• Behavioral pattern detection
• Decision quality tracking
• Execution integrity
• Secure local-first architecture
• Evidence-based engineering workflows

Designed to surface risk, constraints and drift before work continues — not after.

Orbit Engine is not public yet because it is part of an active research and hardening track. Before any broader release, its trust boundaries, safety model, evidence handling and public documentation need to be stable, reviewed and intentionally sealed.

Platforms: iOS · macOS · Backend services · CLIs · Developer tooling Systems: CI/CD · API architecture · Observability · Security-first workflows · AI-assisted engineering