Principal AI Systems Architect, Σ-shaped Design Leader, and Trust & Governance Lead
Ships production logic in Python and TypeScript — not mockups.
"As we architect the infinite, who safeguards the ethics of the finite?"
I am a Sigma-shaped (Σ) Design Leader with 18+ years of experience architecting enterprise-scale agentic systems. Currently Agentic UI Engineer at Apple's AI Developer Platform (AiDP) and DevX Org, I design HITL orchestration systems and Trust Calibration interfaces.
I ship real-time streaming agent interactions with SSE/WebSockets — latency under 100ms, scale to 10K+ concurrent sessions.
My focus spans multi-agent orchestration (LangGraph, MCP/A2A protocols) and multi-model reasoning — selecting the right model for each task: GPT-5.6 Sol for system design, Claude Opus 5 for long-context analysis, Gemini Flash for rapid prototyping. At the core, I solve the "Review Paradox" by designing glanceable Audit Interfaces that let humans verify complex AI reasoning chains in seconds.
06+ Years · Two Tenures via Red Oak & Wipro · Cupertino & Austin
Lead AI Product Design & Agentic UI Engineering
AI-Native SDLC: Architecting developer portals in TypeScript/React — agentic automation built-in, not bolted-on.
LangGraph Pipelines:TriggerPlanExecuteValidateFeedbackin Python, not just respond.
Streaming: SSE/WebSockets <100ms, 10K+ concurrent sessions.
Trust Calibration: Dynamic confidence scoring — agents self-report uncertainty, humans intervene at thresholds.
20+ enterprise dashboards for 500+ global stakeholders across Retail, Finance, AppleCare, and Supply Chain.
Click to view 6 quantified achievements...
2014 – 2026 · Two Tenures
Principal AI Systems Architect & UX Lead
EU AI Act Art. 14: HITL thresholds at 80% — zero safety incidents in high-risk Fortune 500 transactions.
Multi-Agent Orchestration: LangGraph-based supervisor-workers and peer-to-peer negotiation for Fortune 500 clients (IBM, HP, Nestlé).
Constraint Architecture: Token-based guardrails preventing GenUI hallucination — tokens as safety rails, not just styling.
Adversarial Simulation: 15+ logic loops and hallucination patterns identified pre-production — caught what QA missed.
Data Viz Systems: Logic Map Architecture reducing report generation time by 55% for Fortune 500 clients.
Trust Calibration: Break Glass Protocol for emergency override during autonomous agent operations.
2008–2018
A decade building systems across data visualization, product ownership, platform-scale UX, mobile VoIP, and global brand architecture for Fortune 500 clients.
Design Systems Architect
IBM, HP, Nestle · −55% report generation time
Product Owner / Systems Analyst
Executive decision-support · gap/risk frameworks
Creative Lead & UX Architect
60M+ monthly views · +40% mobile engagement
Mobile UX Specialist
Zero-UI VoIP · adaptive codec · edge computing
Creative Visualizer
Marlboro, HSBC, Telenor · brand systems
Multi-agent orchestration (supervisor-workers, peer-to-peer, hierarchical), MoA/MoE patterns, cascading pipelines. LangGraph, MCP/A2A protocols, HITL with Trust Calibration.
GPT-5.6 Sol for system design, Claude Opus 5 for long-context analysis, Gemini Flash for rapid prototyping. Model selection by task, consensus-based reasoning, execution graphs.
EU AI Act Art. 14, ISO/IEC 42001, NIST AI RMF. Trust Calibration, Constitutional AI, red teaming, bias auditing, constraint-based guardrail design.
Current-generation frontier & open-weight models in active production use.
LangGraph · LangChain · CrewAI · Pydantic AI · Vercel AI SDK · MCP / A2A.
$ v0 / lovable / bolt
$ replit agent
$ orca ade / continue
$ aider
Claude Code · Codex CLI · Cursor · Windsurf · Copilot Workspace.
Token-driven design · component libraries · HIG · Material 3 · Radix UI.
Vector DBs (Pinecone, Qdrant) · knowledge graphs · Amplitude · PostHog.
TypeScript · Python · Next.js · Node · GraphQL · WebSockets · Docker · CI/CD.
Progressive disclosure · zero-UI · logic maps · spatial computing (visionOS).
WCAG 2.2 / 3.0 AA validation · requirements traceability · task completion analysis.
IBM · HP · Nestlé · −55% report time
Executive decision-support · Stakeholder alignment
60M+ monthly views · +40% mobile engagement
VoIP · adaptive codec · latency-minimized
Marlboro · HSBC · Telenor · EMEA & APAC
Research & writing published on FutureCareer — data-driven analysis of AI, education and the future of work.
9.5 million people. 13 Nobel Prizes. 100 unicorns. $60 billion in tech exports. The complete breakdown of how Israel became the Startup Nation.
44% of engineering seats sit empty. 58 colleges shut down. 950+ courses discontinued. India's higher education system is not struggling — it is collapsing.
73% of workers tie their identity to their job. 170 million jobs are disappearing by 2030. Here is the data on the identity crisis coming for millions.
The US blocked China from buying Nvidia's best AI chips. China responded by building better models for less money — and giving them away free.
The EU passed the world's first comprehensive AI law. It's building 19 AI factories. It's investing €200 billion. Can Europe catch up to the US and China?
Dr. Roman Yampolskiy has been warning about AI safety for 20 years. He predicts AGI by 2027 and 99% unemployment within 5 years.
DeepSeek trained a model for $6 million that rivals GPT-4's $100 million. Chinese models dominate OpenRouter with 58% token share. The race is over — and America lost.
450,000 layoffs. 32% trust in leadership. 47% planning to quit. The social contract between tech companies and their workers is broken.
"As we architect the infinite, who safeguards the ethics of the finite?"
Performance is a sustainability metric.
Every inference cycle carries a visible cost. Treating computational efficiency as an ethical obligation — not an optimization afterthought.
↳ Execution: Optimizing agentic inference loops to enforce W3C WSG compliance and lower cloud compute costs (COGS) by 22%.
AI is never the final arbiter.
In high-stakes enterprise decisions, autonomy stops at a calibrated threshold. Trust Calibration interfaces let agents self-report uncertainty so humans can intervene with full context.
↳ Execution: Designing Trust Calibration interfaces with dynamic confidence scoring — agents self-report uncertainty, humans intervene at thresholds. Constraint-based guardrails preventing hallucination via token-based validation and semantic checks.