Principal AI Architect · Google · Silicon Valley
Architecting Production AI.
Scaling Enterprise Value.
interactions audited monthly. 100% coverage versus a 2% manual baseline.
policy propagation latency. 1,000+ knowledge updates per day across 12 languages.
reduction in hallucination rate. Domain-specific fine-tuning on 14M internal documents, on-premises inference matching cloud API benchmarks.
Sovereign AI architecture for a multinational financial institution across seven regulatory jurisdictions — zero data residency violations, zero compliance breaches post-deployment. Air-gapped infrastructure, vLLM inference, localized compliance pipelines.
ARR recovered. A single product friction point surfaced by an LLM synthesis engine and escalated directly to the roadmap.
500+ agent support operations transformed into a self-correcting learning organization — real-time in-flight coaching, human-in-the-loop feedback loops, automated semantic drift detection, and site-level strategic intelligence at scale.
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Agentic QA Framework Multi-agent orchestration for 100% interaction coverage at scale2024
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Adaptive Feedback Loop Human-in-the-loop active learning with LoRA fine-tuning and drift prevention2024
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Evergreen Knowledge Nexus Event-driven RAG with sub-3-minute policy propagation across 12 languages2024
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Privacy Vault Three-tier PII scrubbing pipeline, <100ms latency, DPDP and GDPR compliant2024
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Automated Coaching Loop Real-time agentic nudges, post-interaction reflection, and site-level intelligence2024
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Voice of Customer Engine LLM synthesis pipeline surfacing product signals from millions of support interactions2024
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Zero-Latency Customer 360 Hot/warm/cold memory substrate reducing retrieval from 5s to 180ms for agentic AI2024