Selected work across enterprise AI and immersive intelligence.

A snapshot of engagements spanning agentic systems, healthcare automation, video intelligence, knowledge retrieval, and physical AI research.

Healthcare AI

AI-Powered Policy Comparison & Change Detection

An AI-driven system that analyzes large volumes of healthcare payer policy documents and automatically identifies material vs. non-material changes across policy versions.

Summarizes updates and highlights business impact
Alerts ops teams to changes affecting authorization, reimbursement, and compliance
Significantly reduces manual review effort while improving visibility into evolving payer requirements

Agentic AI

Multi-Agent Enterprise AI Architecture (Agentic Mesh)

An enterprise-scale multi-agent framework that orchestrates specialized AI agents across operations, support, engineering, sales, and compliance.

Orchestration engines + workflow reliability layers
Observability tooling and event-driven communication
Designed for governance, extensibility, and production-grade reliability

Computer Vision

AI-Powered Video Intelligence & Session Analysis

Surveillance and video intelligence frameworks that observe, analyze, and document human activity from recorded or live video streams.

Generates structured notes and identifies behavioral patterns
Answers contextual questions and detects anomalies
Applied across healthcare, therapy, operations, security, and compliance

Healthcare Operations

AI-Driven Healthcare Workflow Automation

AI workflows targeting operational inefficiencies in healthcare and therapy ecosystems — payer ops, therapy documentation, ABA workflows, intake coordination, and policy interpretation.

Retrieval-augmented AI combined with automation layers
Domain-specific reasoning for clinical and operational contexts
Reduces administrative overhead while improving decision support

Knowledge & RAG

Enterprise Knowledge Intelligence & Retrieval Systems

AI solutions that ingest large enterprise document repositories and convert them into searchable, conversational intelligence platforms.

Natural-language queries over policies, SOPs, contracts, and ops knowledge
Preserves context and full source traceability
Reduces dependency on tribal knowledge

AI Assistants

AI Monitoring for Media, Research & Intelligence Feeds

AI assistants that continuously monitor external sources — YouTube channels, news feeds, research publications, and social platforms.

Transcribes, summarizes, and classifies relevance
Generates alerts and structured reports or blog-style summaries
Automates competitive intelligence, market monitoring, and research tracking

Physical AI / XR

Physical AI, Robotics & Immersive Intelligence Research

Next-generation Physical AI initiatives spanning robotics, haptics, locomotion systems, VR/AR environments, and AI personalization.

Immersive environments with motion and sensory feedback
Adaptive learning and therapy systems
Focus on neurodevelopment, embodied interaction, and adaptive experiences

Behavioral Intelligence

AI-Powered Behavioral & Predictive Analytics

Frameworks for analyzing movement, interaction, and behavioral patterns to derive predictive insights and longitudinal analytics.

Multimodal inputs: locomotion, telemetry, video, and sensory signals
Identifies engagement trends and behavioral markers over time
Applied across healthcare, training, immersive learning, and operations

AI Reliability

Enterprise AI Observability & Reliability Frameworks

Enterprise-grade observability strategies for AI ecosystems using telemetry, tracing, workflow monitoring, and event-driven diagnostics.

Makes AI systems auditable, debuggable, and operationally reliable
Critical for coordinating multiple agents and autonomous workflows
Production-grade reliability across enterprise systems

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