I build trustworthy AI systems, developer platforms, and cloud-security tools— with an emphasis on clear evidence, explicit permissions, and human control.
Building at the intersection of AI, Security, and Software Engineering.
Interested in AI Safety, AI Security, Harness Engineering, Software Factories, agent governance, application contracts, and verification systems. Exploring how humans and AI agents can collaborate to build secure, auditable, and reliable software.
Open-source contributor focused on trustworthy AI-native development workflows and next-generation engineering platforms. currently, I am exploring projects such as SparkKit and other open-source initiatives that advance human-AI collaboration, secure automation, software supply chain integrity, and next-generation engineering platforms for AI-built software.
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The goal is simple: make powerful AI useful inside real workflows while keeping people in control.
An open-source foundation for building portable software and multiplayer AI applications. It combines a modern application stack with tenant isolation, authentication, organizations, and a path toward policy-controlled agent actions.
TypeScript · Next.js · PostgreSQL · Prisma · Docker
A source-backed research data foundation for satellite and ground-segment intelligence, designed around traceable evidence and explicit knowledge gaps.
TypeScript · Research Data · Evidence Provenance
A bounded research agent that validates what sources can support, preserves uncertainty, and avoids inventing missing answers.
AI Agents · Source Validation · Responsible AI
An identity-visualization concept for Microsoft Entra ID that maps access paths and uses agentic AI to explain issues, detect patterns, and recommend next steps.
Identity Security · Microsoft Entra ID · Agentic AI
Human–AI collaboration and secure agentic systems Agent identity, authorization, approvals, and auditability Cloud architecture, security engineering, and platform design Evidence-grounded AI and trustworthy automation Open-source developer tools and AI-native application foundations TypeScript, Python, Next.js, PostgreSQL, Docker, AWS, and Azure
Evidence over confident guesses.
Explicit permissions over invisible autonomy.
Human approval for consequential actions.
Portable foundations over unnecessary lock-in.
I am interested in open-source collaboration, early-stage AI infrastructure, cloud security, and thoughtful conversations about safe human–agent systems.