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-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.
WoundCam
activeSecure Wound Image Documentation
Cross-platform mobile application for secure wound image capture, encryption, and AI-powered analysis.
WoundSeg
activeAI-Powered Wound Segmentation Pipeline
Open-source Python library for training, calibrating, and deploying U-Net wound segmentation models.