Research and development focused on applied AI/ML, cloud engineering, and experimental systems.
This site documents hands-on work—prototypes, experiments, and deeper technical explorations—where ideas are tested, systems are built, and approaches are refined through real engineering effort.
Focus Areas
Applied AI/ML
Practical applications of machine learning, AI integration, and intelligent system design.
Cloud Engineering
Scalable infrastructure, distributed systems, and cloud-native architecture patterns.
Experimental Systems
Prototypes, research projects, and explorations of emerging technologies.
Featured Projects
View all →Rdn.FacLT
activeMulti-Tenant Facility Scheduling Platform
Supply-aware facility scheduling platform for clinics, medspas, and infusion centers. Industry-first 10-constraint booking engine that validates staff roles, station capacity, supply stock, and procurement lead times before confirming. Automated schedule generation with fairness algorithm, patient self-scheduling via magic links, two-way SMS with keyword handling, cross-platform mobile apps, and AI-native administration via 17 workflow tools backed by a 208-tool MCP server.
Rdn.Identity
activeEnterprise Identity Management Platform
Enterprise identity platform with SSO, passwordless auth (passkeys, OTP, magic links, QR code login), OAuth 2.0/OIDC server with DPoP and Device Authorization Grant, multi-channel verification, social login, license system, 12-algorithm signing key management, and multi-tenant management.
rdn-swarm
activeMulti-Agent Software Development Orchestration
Multi-agent SDLC orchestrator with five feature-parity implementations (Node.js, Python, Go, .NET, Next.js Web). Coordinates specialized AI agents across four LLM providers to iteratively build and refine complete applications through a 7-phase quality-gated pipeline.