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Proof from AI, data, healthcare, and knowledge systems
Selected public examples of architecture-first delivery, AI-assisted implementation, privacy-first system design, data workflows, and documentation-heavy product work.
These case studies focus on what can be safely shared: product context, architecture direction, delivery model, system scale, and what each project proves.
Deeper technical breakdowns may be discussed during discovery when relevant.
- Case 01Health-tech platform
TodaiHealth 
asset · v1Case 01TodaiHealth
Health-tech architecture and spec-driven delivery for a peer-to-peer platform supporting people with diabetes.
What it provesHealthcare-aware architecture, documentation depth, contract-first planning, microservice decomposition, and fast AI-assisted implementation after a detailed specification phase.
Related services- MVP Sprint
- Architecture & Delivery Sprint
- AI-Assisted Product Development
- Case 02AI speech analytics platform
Echo Speech Analytics 
asset · v1Case 02Echo Speech Analytics
Production-oriented AI platform for analyzing customer calls through telephony, transcription, LLM analysis, CRM data, and reporting workflows.
What it provesApplied AI system design, asynchronous processing, speech analytics pipelines, CRM integration, analytics workflows, and a SaaS-ready architecture path.
Related services- AI Agents & Workflow Automation
- Data Engineering & Analytics
- Architecture & Delivery Sprint
- Case 03Privacy-first AI voice platform
AIspeaky 
asset · v1Case 03AIspeaky
Cross-platform AI voice platform with local speech execution, provider-agnostic AI/STT/TTS integrations, and a privacy-first relay architecture.
What it provesSensitive AI workflow design, provider abstraction, secure relay patterns, hybrid desktop/cloud architecture, and contract-first governance.
Related services- Healthcare & Compliance-Aware Systems
- AI Agents & Workflow Automation
- Architecture & Delivery Sprint
- Case 04Knowledge management and AI-assisted documentation
BrainNet / Second Brain 
asset · v1Case 04BrainNet / Second Brain
Knowledge management and AI-assisted documentation system for turning scattered project knowledge into structured, searchable, reusable context.
What it provesKnowledge architecture, documentation standards, AI-assisted workflows, RAG-ready structure, and internal productivity systems.
Related services- AI Agents & Workflow Automation
- Data Engineering & Analytics
- Architecture & Delivery Sprint
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Share your product, data, AI, or architecture context. I will help clarify what should be assessed first and what kind of engagement makes sense.